Vacancies

Professor position

Motion Perception and Comfort in Automated Driving

Location

Delft

Function types

Hoogleraren, UHD’s, UD’s & lectoren, Onderzoek, Ontwikkeling, Innovatie

Scientific fields

Techniek

Hours

38.0 hours per week

Salary

€ 3637 - € 6738

Education

Gepromoveerd

Job number

3mE19-31

Translations

en

About employer

Technische Universiteit Delft (TU Delft)

Short link

www.academictransfer.com/54183  

Link to pdf here


Apply for this job only today


Job description
TU Delft, the Netherlands, invites applications for an Assistant/Associate Professor Position (tenure track) investigating human motion perception and motion comfort to develop new insights and models predicting comfort of automated driving.
Automated driving holds great promise to provide safe and sustainable transport. Passenger cars will soon achieve safety levels allowing users to take their eyes off the road, freeing up time for work or leisure activities. Surveys indicate that consumers are interested in reading and operating digital devices whilst using automation. These needs must be taken into account for the design of vehicle motion controllers and interiors. A particular concern is “self-driving car sickness”. Drivers rarely suffer from car sickness, but sickness is reported by two-thirds of passengers during eyes off road conditions. Hence, knowledge and models of motion comfort are urgently needed to achieve high comfort levels in automated driving.
A range of theories and models associate motion sickness with motion perception and posture maintenance. Due to a multitude of factors existing models fail to predict motion comfort in automated driving. Effects of 3D motion and the modulating role of vision are not sufficiently captured. The relation between motion comfort and posture maintenance sees little empirical support. Current knowledge focusses on severe (pre-)vomiting sickness rather than the targeted high comfort levels.
The candidate is expected to develop enhanced and new experimental methods, theories and models addressing the knowledgegaps identified above.
Experimental vehicles and moving base driving simulators will be used to systematically investigate perceived comfort as a function of vehicle motion, vision, non-driving task, and seating. Together with other researchers full body biomechanical models and motion perception models will be integrated to jointly predict body motion and comfort. Together with other researchers and partners the resulting insights and models will be used to design innovative control algorithms for automated vehicles.


We expect you to:

  • Develop, conduct and supervise high-quality academic research;
  • Inspire students through teaching and supervision;
  • Collaborate with specialists in academia and industry in multidisciplinary projects;
  • Transfer theory to innovative technology;
  • Secure external funding for research projects;
  • Be an inspiring contribution to our staff.


Requirements

Candidates are expected to be, or be on their way to becoming, authorities in their own field of research, and to complement and enrich the existing research programs in the department. For the overall balance in the department, we especially welcome applications from female scientists.

Applicants should have the following qualifications:

  • PhD degree in Mechanical Engineering, Neuroscience, Human Movement Sciences, or comparable studies and experience.
  • In particular we value experience in: Motion perception (vision, vestibular), Postural stabilization, Biomechanical testing (motion capture, EMG) and modelling, System identification & Frequency domain analysis, Automotive, Comfort, Human factors.
  • Strong analytical skills and ability/interest to work at the intersection of several research domains;
  • At least one year of research experience after the PhD, and experience outside the Netherlands;
  • Excellent track record in scientific research, as evident from papers in international and peer-reviewed journals.


Conditions of employment

At the start of the tenure-track you will be appointed as Assistant Professor for the duration of six years. The section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. If the performance and skills are evaluated positively at the end of the tenure track, you will be appointed in a permanent Assistant Professor position.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency. Inspiring, excellent education is one of our central aims. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.


Contract type
: Tijdelijk, tenure track


Employer
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.
Department

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), and international industry and academia. For more information, see Cognitive Robotics (CoR) and Intelligent Vehicles (IV).


Additional information

For more information about this position, please contact dr R. Happee, Associate Professor, e-mail: r.happee@tudelft.nl, tel.: +31 1527883213. To apply, please send a detailed CV, motivation letter, a research and teaching statement, electronic copies of your top three publications and contact data of at least three references. All required documents should be combined to a single pdf file. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-31. We will start to select candidates on 1 June 2019.

Anthropomorphic Human-Robot Interaction

Location

Delft

Function types

Hoogleraren, UHD’s, UD’s & lectoren, Onderzoek, Ontwikkeling, Innovatie

Scientific fields

Techniek

Hours

38.0 hours per week

Salary

€ 3637 - € 5656

Education

Gepromoveerd

Job number

3mE19-47

Translations

en 

About employer

Technische Universiteit Delft (TU Delft)

Short link

www.academictransfer.com/54986

 PDF version

 here


Apply for this job only today

Job description
The department of Cognitive Robotics invites applications for an Assistant Professor position (tenure track) investigating anthropomorphic human-robot interaction.
 
Robots and humans will increasingly intermingle in open and complex domains, such as traffic, domestic, agricultural, and work environments. We need to engineer robots that can be intuitively understood, corrected, taught, or safely taken over by humans. Future robots, such as autonomous cars and household robots, may have to behave in a human-like manner or have human-like features, in order to create a safe and acceptable interaction. 

The candidate is expected to study whether human-robot communication is enhanced if robots are anthropomorphized. The scientific questions concern whether robots should look, move, and behave like humans, how such behavior can be quantitatively modelled and embedded into the machine, and how to establish a dialogue between the robot and the human taking into account human’s cognitive and physiological state. 

We expect you to:

  • Develop, conduct and supervise high-quality academic research
  • Inspire students through teaching and supervision
  • Collaborate with specialists in academia and industry in multidisciplinary projects
  • Transfer theory to innovative technology
  • Secure external funding for research projects
  • Be an inspiring contribution to our staff


Requirements

Candidates are expected to be, or be on their way to becoming, authorities in their field of research, and to complement and enrich the existing research programs in the department.
Applicants should have the following qualifications:

  • PhD degree in computer science or engineering, aerospace or mechanical engineering, artificial intelligence, robotics, or a related field, with a specialization in human-machine interaction.
  • Embracement of open science principles and modern communication tools.
  • Strong analytical skills and ability/interest to work at the intersection of several research domains.
  • Experience or familiarity with human-subject research.
  • At least one year of research experience after the PhD, and experience outside the Netherlands.
  • Excellent track record in scientific research, as evident from papers in international and peer-reviewed journals.


Conditions of employment
At the start of the tenure-track you will be appointed as Assistant Professor for the duration of six years. The section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. If the performance and skills are evaluated positively at the end of the tenure track, you will be appointed in a permanent Assistant Professor position.TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency. Inspiring, excellent education is one of our central aims. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.Contract type: Tijdelijk, Tenure Track EmployerDelft University of TechnologyDelft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.
Department

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.You will be part of the Cognitive Human-Robot Interaction Lab within the Cognitive Robotics department. The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity, and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control, and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators, and haptic interfaces. Strong collaborations exist with the cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute, our national robotic ecosystem (RoboValley, Holland Robotics), and international industry and academia. www.cor.tudelft.nl/Additional informationFor more information about this position, please contact Dr.ir. Joost C.F. de Winter (j.c.f.dewinter@tudelft.nl). For more information about the conditions of employment, please contact Irina Bruckner, HR advisor (application-3mE@tudelft.nl). 

To apply, please submit:

  • a detailed CV
  • a motivation letter
  • a research and teaching statement
  • names and contact data of at least three references. 


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-47. For the overall balance in the department, we especially welcome  applications from female scientists.

The review of applications will start on 15 June 2019 and continue until the position is filled. The starting date is negotiable.

Data Fusion for Intelligent Vehicles

Locatie

Delft

Functietypes

Professors, associate professors, assistant professors and lecturers, Research, Development, Innovation

Wetenschappelijke discipline

Engineering

Uren

38,0 uren per week

Salaris

€ 3545 - € 6567

Werk-/denkniveau

Doctorate

Vacaturenummer

3mE19-57

Vertalingen

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/55446

PDF version here


APPLY TODAY!

Job description
The Cognitive Robotics department at TU Delft seeks to fill a faculty position in the area of data fusion for intelligent vehicles at the level of Assistant (tenure-track) or Associate Professor (tenured). The position covers multi-modal sensor processing (e.g. vision, radar, LiDAR, GNSS/INS) for on-board environment perception and localization/mapping, in complex and dynamic environments (e.g. urban traffic). Specific topics of interest include:

  • Object detection (position, pose and shape estimation)
  • Environment representation (e.g. sensor-level, grid-level, object-level)
  • Multi-target tracking
  • Simultaneous localization and mapping (SLAM)
  • Distributed sensing
  • Life-long mapping of large scale environments
  • Statistical methods and machine learning incl. deep learning
  • Heterogeneous and temporal data fusion.


Requirements
Applicants should have the following qualifications:

  • PhD degree in Computer Science, Artificial Intelligence, Electrical/Mechanical Engineering, or related discipline. Experience in robotics and/or intelligent vehicles is an asset
  • Experience as a Post-Doc/Assistant Professor
  • Excellent track record in scientific research, as evident from publications in top-tier conferences and journals
  • Proven ability to provide inspiring teaching at both undergraduate and graduate levels (in English)
  • High motivation to pursue and establish an own research direction within an interdisciplinary environment
  • Organizational and managerial skills to interact and cooperate effectively with staff and other research institutes and organizations, including industry  
  • Experience in the acquisition of external funding.


Conditions of employment
A tenure track position is offered for a maximum of six years. Tenure Track is a process leading up to a permanent appointment with the prospect of becoming an Associate Professor. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognized academic. To support that, we offer a structured career and personal development program, which accounts for individual needs and preferences. For more information about the tenure track and the personal development program, please visit www.tudelft.nl/tenuretrack.

Based on performance indicators agreed upon at the start of the appointment, a decision will be made at the end of the fifth year whether to offer you a permanent faculty position.

The salary for a Tenure Track (Assistant Professor) position is min. €3.545 to max. €5.513 per month gross. For exceptionally strong candidates, a shortened tenure track period or Associate Professor position can be considered.
For an Associate Professor position different terms of employment apply. Depending on background and experience, the salary can range from min. €4.911 to max. €6.567 per month gross. All salaries mentioned are based on full time contracts.

The TU Delft offers a customizable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. The TU Delft offers trainings to improve English and Dutch language competencies.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

TU Delft creates equal opportunities and encourages women to apply.

Employment: Temporary, Tenure track, permanent

Employer
Delft University of Technology
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Faculty & Department
Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in ground breaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. 

The Cognitive Robotics department has the mission to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Of special interest are robotic solutions for complex, human-inhabited environments. Collaborations exist with cross-faculty institutes (TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international academia and industry. 

The faculty opening is within the Intelligent Vehicles group; it focuses on methods for environment perception, dynamics and control and human factors in the context of automated driving.
For more information, see Cognitive Robotics (CoR) and Intelligent Vehicles.

Information and application
For more information about this position, please contact  Prof. D.M. Gavrila (e-mail: d.m.gavrila@tudelft.nl).

To apply, please submit (in one single pdf file):

  • a motivation letter,
  • a detailed CV,
  • a research and teaching statement,
  • electronic copies of your top three publications, and
  • contact data of three references. 

Applications should be submitted to Application-3mE@tudelft.nl, referring to vacancy number 3mE19-57 in the subject of the email. Application deadline is 15 October 2019.

Postdoc position

Interactive Reinforcement Learning

Job description
Programming and re-programming robots is extremely time-consuming and expensive, which presents a major bottleneck for new industrial, agricultural, care, and household robot applications. The goal of this project is to enable robots to learn how to perform manipulation tasks from few human demonstrations, based on novel interactive machine learning techniques. Robot learning will no longer rely on initial demonstrations only, but it will effectively use additional user feedback to continuously optimize the task performance. It will enable the user to directly perceive and correct undesirable behavior and to quickly guide the robot toward the target behavior. The PostDoc will explore various aspects of interactive reinforcement learning: learning force-interaction skills with user inputs, requesting additional advice, interactive reinforcement learning for sequences, and interactive inverse reinforcement learning. The approaches will be evaluated with generic real-world robotic force-interaction tasks related to handling and (dis)assembly. The potential of the newly developed teaching framework will be demonstrated with challenging bi-manual tasks and a final study evaluating how well novice human operators can teach novel tasks to a robot.

The PostDoc position is in the context of the project “Teaching Robots Interactively” (TERI), funded by the European Research Council as ERC Starting Grant.

Requirements
We are looking for a candidate with a PhD degree in systems and control, robotics, applied mathematics, artificial intelligence, machine learning, or a related subject. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. Experience with real robot applications is a plus. The applicant should have demonstrated ability to conduct high-quality re-search according to international standards, as demonstrated by publications in international, high-quality journals. A very good command of the English language is required, as well as excellent communication skills.

Conditions of employment

Fixed-term contract: Temporary, 30 months.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

TU Delft creates equal opportunities and encourages women to apply.

Employer
Delft University of Technology
(TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
The faculty Mechanical, Maritime and Materials Engineering (3mE) trains committed engineering students, PhD candidates and post-doctoral researchers in ground-breaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia.

Additional information

If you have specific questions about this position, please contact Dr. Jens Kober, e-mail: J.Kober@tudelft.nl . Please do not send application emails here, but use the specified address below.
To apply, please prepare:

  • a cover letter
  • a separate letter of motivation explaining why you are the right candidate for this project,
  • a detailed CV,
  • electronic copies of your top three publications,
  • a summary of your PhD thesis,
  • the names and contact addresses of two or three references,
  • any other information that might be relevant to your application.


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-84.
The review of applications will start on November 1st 2019 and continue until the position is filled. The intended starting date is early 2020.

To apply, follow this link.

Learning Physical Human-Robot Cooperation Tasks

        Job description

This project focuses on “dexterous cooperation”, i.e., a robot and a human co-worker jointly transporting and/or assembling objects (e.g., stacking boxes, changing a tire). The scientific challenges range from communicating intentions (e.g., on the robot side via force guidance or speech and via touch or gestures on the human side), learning to anticipate human behaviors and extracting movement goals, to actually learning how to best physically collaborate with the human. Applicable techniques include reinforcement learning, imitation learning, interactive learning, model learning, incorporating prior knowledge, scene understanding and prediction, planning, movement primitives, hybrid force-position control, etc.

The exact research topic can be adapted to the candidate’s background and interests.

The PostDoc will be supervised jointly by HRI-EU and TU Delft. The working location will be both TU Delft (Delft, The Netherlands) and HRI-EU (Offenbach am Main, Germany), the split will be decided upon in consultation with the candidate.

         Requirements

We are looking for a candidate with a PhD degree in systems and control, robotics, applied mathematics, artificial intelligence, machine learning, or a related subject. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. Experience with real robot applications is a plus. The applicant should have demonstrated ability to conduct high-quality research according to international standards, as demonstrated by publications in international, high-quality journals. A very good command of the English language is required, as well as excellent communication skills.

        Conditions of employment

Fixed-term contract: 2 years.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. 

TU Delft creates equal opportunities and encourages women to apply.  

        Employer

Technische Universiteit Delft

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

        Department

Faculty Mechanical, Maritime and Materials Engineering

The faculty Mechanical, Maritime and Materials Engineering (3mE) trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. www.tudelft.nl/en/3me 

The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. www.cor.tudelft.nl/ 

The vision of the Honda Research Institutes (HRI) is to contribute to society's future by pursuing emerging technologies of the 21st century. Honda is the largest engine manufacturer in the world - HRI is proud to be part of the engines of innovation behind the “Power of Dreams”. The three Honda Research Institutes in Japan, in the United States and in Europe collaborate closely with their respective local scientific communities. Each contributes its specific expertise to the Honda science-technology-science circle reflecting their determination to break the traditional chain of innovation and to realize new structures for new challenges. Research in Intelligent Systems is at the center of the Honda Research Institute Europe (HRI-EU) www.honda-ri.de . Intelligent systems will shape our future in a variety of forms, ranging from accident-free mobility to cognitive robotics and from smart process management to the efficient use of resources. Intelligence is necessary to handle complexity in products and in processes.

        Additional information

If you have specific questions about this position, please contact Dr. Jens Kober, e-mail: J.Kober@tudelft.nl. Please do not send application emails here, but use the specified address below.

To apply, please prepare:

  • a cover letter
  • a separate letter of motivation explaining why you are the right candidate for this project,
  • a detailed CV,
  • electronic copies of your top three publications,
  • a summary of your PhD thesis,
  • the names and contact addresses of two or three references,
  • any other information that might be relevant to your application.

All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-89. The review of applications will start on November 15th 2019 and continue until the position is filled. The position is available immediately, the latest possible starting date is April 1st 2020.

PhD position

Deep Robot Action and Control

Job description
This project aims to develop a comprehensive toolkit that will allow roboticists to apply DRL in a way similar to how currently methods like computed-torque control or RRT can be used. One of the biggest hurdles is coming up with appropriate network architectures and associated hyperparameters. To this end, we will design and integrate automatic hyper-parameter tuning, while also providing guidelines for parameter tuning. DRL suffers from instability and the huge number of required iterations. Both can be addressed by including prior knowledge. We will investigate how prior knowledge from the control domain can be incorporated, by embedding controller structures in the network architecture.

This vacancy is part of the project Open Deep Learning Toolkit for Robotics (OpenDR). The aim of OpenDR is to develop a modular, open and non-proprietary deep learning toolkit for robotics. We will provide a set of software functions, packages and utilities to help roboticists develop and test robotic applications that incorporate deep learning. OpenDR will enable linking robotics applications to software libraries such as TensorFlow and the ROS operating environment. We focus on the AI and cognition core technology in order to give robotic systems the ability to interact with people and environments by means of deep-learning methods for active perception, cognition and decisions making. OpenDR will enlarge the range of robotics applications making use of deep learning, which will be demonstrated in the applications areas of healthcare, agri-food and agile production. The project is funded by the EU Horizon 2020 program, call H2020-ICT-2018-2020 (Information and Communication Technologies), 2019 – 2022.

Requirements

The candidate has a very good MSc degree in systems and control, mechanical engineering, applied mathematics, artificial intelligence, machine learning, electrical engineering, computer science, or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. A very good command of the English language is required, as well as excellent communication skills. Candidates having exhibited their ability to perform research in control, optimization, robotics, and/or machine learning are especially encouraged to apply.

Conditions of employment


Fixed-term
contract: Temporary, 4 years.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information. 

TU Delft creates equal opportunities and encourages women to apply.

Employer
Delft University of Technology (TU Delft)
is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department

The faculty Mechanical, Maritime and Materials Engineering (3mE) trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia.

Additional information

If you have specific questions about this position, please contact Dr. Laura Ferranti, email: L.Ferranti@tudelft.nl, Dr. Jens Kober, e-mail: J.Kober@tudelft.nl, or Prof. Robert Babuska, email: R.Babuska@tudelft.nl. Please do not send application emails here, but use the specified address below.

To apply, follow this link.

Pedestrian/Cyclist Motion Prediction for Self-Driving Vehicles

Location

Delft

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-16

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/53022  

PDF version

here


Job description
The Intelligent Vehicles group at TU Delft (www.intelligent-vehicles.org) is seeking a PhD candidate with an interest in performing cutting edge research in the area of self-driving vehicles. This PhD position is part of the project “Safe interaction of automated vehicles with vulnerable road users” (SafeVRU). The project will develop sensing, intent recognition, and vehicle control strategies for the interaction of automated vehicles with vulnerable road users (VRU) such as pedestrians and cyclists. Several Dutch industry partners participate in this project (2getthere, TNO Automotive, NXP); beyond these, multiple collaborations with the European automotive industry exist.

The PhD position involves developing motion/behavior models for pedestrians/cyclists, that can accurately predict their future trajectories. These models are to be learned/parametrized using training data and will take into account sensor measurements (e.g. position, velocity, pose, gestures, and traffic environment) and prior knowledge (physical constraints, map data). A challenge is to deal with the uncertainty derived from imprecise sensor measurements and from highly maneuverable targets that can change their velocities abruptly (e.g. change of direction, start/stop walking). Several motion model types will be considered initially, based on explicit dynamics, trajectory learning and planning (agents). In particular, deep learning for motion prediction will be investigated.


Requirements
Applicants should have a strong academic record with a solid background in computation, sensor processing (e.g. computer vision), machine learning and AI. Good programming skills are expected, preferably in C++ and MATLAB/Python. Knowledge of deep-learning frameworks (TensorFlow/Torch/Caffe) and OpenCV/ROS/CUDA is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. Applicant(s) are expected to be able to act independently as well as to collaborate effectively with members of a larger team. Good English skills are required.


Conditions of employment

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information


Contract type

Temporary, 4 years

 
Employer

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.


Department
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. 

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. For more information, see Cognitive Robotics (CoR).

 Additional informationFor more information about this position, please contact Prof.dr. D.M. Gavrila, e-mail: D.M.Gavrila@tudelft.nl.

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate,
  • a detailed CV,
  • a complete record of Bachelor and Master courses (including grades),
  • a link to your Master’s Thesis (at least as draft),
  • any publications, and a list of projects you have worked on with brief descriptions of your contributions (max 2 pages),
  • the names and contact addresses of two references.


All these items should be combined in one PDF document. Applications should be submitted as soon as possible by email to Application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-16 in the subject of the email.

Automated-Vehicles-to-Human-Road-Users communication

Location

Delft

Function types

PhD positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-42

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/54796

Link to pdf

here

 
Job description

A bottleneck is that current automated vehicles (AVs) do not communicate to human road users (HRUs), making AV-HRU encounters inefficient and potentially accident-prone as compared to HRUs who fluently move in traffic through mutual communication of their states and intentions. Because AVs have excellent sensor and computational abilities, the opportunity arises to develop AV-to-HRU communication that not only emulates but also surpasses the information content of HRU-to-HRU communication.

As part of the NWO VIDI project, “How should automated vehicles communicate with other road users?”, you will devise effective AV-to-HRU communication methods. You will study how HRUs communicate with each other, and examine whether AVs’ gestures should be human-like (anthropomorphic) or nonhuman (mechanistic), and implicit (embedded in vehicle motion) or explicit (visual/auditory signs).

The tasks to be performed include computer simulations and robust empirical research (on-road experiments, virtual reality experiments, & surveys) to examine how HRUs currently communicate and how AVs should communicate.

You will work in a challenging international environment, with access to state-of-the-art lab facilities. You will participate in a multidisciplinary team with strong industrial and academic partnerships, and you will benefit from a collaborative research context.

Requirements
Applicants should have the following qualifications:

  • MSc degree in computer science or engineering, aerospace or mechanical engineering, artificial intelligence, robotics, or a related field, with a specialisation in human-machine interaction.
  • Experience or familiarity with human-subject research.
  • Embracement of open science principles and modern communication tools.
  • Ease with teamwork, willingness to attend conferences and scientific events, flexibility, and outreach in a multidisciplinary environment.
  • Excellent command of the English language.


Conditions of employment
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit http://www.tudelft.nl/phd for more information.
Contract type: Temporary, 4 years
Employer

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes to demonstrable economic and social benefits.
You will be part of the Cognitive Human-Robot Interaction Lab, within the Cognitive Robotics department. The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity, and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control, and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators, and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics), and international industry and academia. http://www.cor.tudelft.nl 
Additional information

For more information about this position, please contact Dr.ir. Joost C.F. de Winter (j.c.f.dewinter@tudelft.nl). For more information about the conditions of employment, please contact Irina Bruckner, HR advisor (application-3mE@tudelft.nl).
To apply, please submit:

  • a letter of motivation explaining why you are the right candidate for this project
  • a CV with a grade list
  • names and contact data of two references to be contacted


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-42. The review of applications will start on 1 June 2019 and continue until the position is filled. The starting date is negotiable. 

Perceived safety and trust in automated vehicles

Location

Delft

Function types

PhD positions, Research, Development, Innovation

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-52

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/55345

PDF version here


Job description

TU Delft, the Netherlands, invites applications for a fully funded PhD position in the European project “SHAPE-IT: Supporting the interaction of Humans and Automated vehicles”. SHAPE-IT is recruiting 15 PhD candidates in Sweden, the Netherlands, UK, and Germany, collaborating through internships and joint training. SHAPE-IT is funded by a European Commission Horizon 2020 program for research and innovation: Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN).

Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes of integrating automation in transport have been primarily technology-focussed, with insufficient consideration to how humans will interact with automated vehicles (AVs).

SHAPE-IT aims to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, studying and modelling human behaviour to design advanced interfaces and control strategies.

This PhD candidate (ESR12) will develop models to predict perceived safety and trust in vehicle automation. The models will capture different levels of driver involvement, driving speeds, interaction with other road users, and infrastructure characteristics. Driving simulator and on-road experiments will be performed to systematically evaluate trust and perceived safety, in order to obtain the model parameters. Furthermore, he or she will investigate how trust and perceived safety can be enhanced by adapting the automated driving style and by informing occupants about the current and anticipated actions of the automated vehicle.

Requirements
We are looking for candidates with a MSc in Mechanical Engineering or related fields, with a focus on system dynamics and statistics, and an interest in human perception.

Conditions of employment
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit http://www.tudelft.nl/phd for more information.

Contract type: Temporary, 4 years

Employer
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia.

Additional information
For more information about this position, please contact dr R. Happee, Associate Professor, e-mail: r.happee@tudelft.nl, tel.: +31 1527883213, or dr M. Wang, Assistant Professor, email:m.wang@tudelft.nl, tel: +31 152784030.

To apply, please submit a letter of motivation and your resume by email to application-3mE@tudelft.nl. Interviews are ongoing until the position is filled (rapid application is recommended).When applying for this position, please refer to vacancy number 3mE19-52 in the subject of the email.

Virtual reality assessment of pedestrian and cyclist interaction with automated vehicles

Location

Delft

Function types

PhD positions, Research, Development, Innovation

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-53

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/55348

Link to PDF here

 

Job description
TU Delft, the Netherlands, invites applications for a fully funded PhD position in the European project “SHAPE-IT: Supporting the interaction of Humans and Automated vehicles”. SHAPE-IT is recruiting 15 PhD candidates in Sweden, the Netherlands, UK, and Germany, collaborating through internships and joint training. SHAPE-IT is funded by a European Commission Horizon 2020 program for research and innovation: Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN).

Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes of integrating automation in transport have been primarily technology-focussed, with insufficient consideration to how humans will interact with automated vehicles (AVs).

SHAPE-IT aims to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, studying and modelling human behaviour to design advanced interfaces and control strategies.

This PhD candidate (ESR09) will develop virtual reality (VR) and augmented reality (AR) methods to investigate the interaction between automated vehicles (AVs) and vulnerable road users (VRUs). Validity will be evaluated by comparing behaviour and perception in VR/AR to interactions with experimental vehicles. He or she will develop and test, in VR, external HMIs (eHMI) that inform the VRU about the AV’s intentions. Accordingly, the candidate will advance knowledge about AV-VRU interaction on topics such as safety, expectancy, acceptance, and trust.

Requirements
We are looking for candidates with a MSc in Mechanical Engineering or related fields, and having a strong interest in human factors and virtual reality. Candidates cannot hold a doctorate degree, and should be within 4 years of obtaining their MSc qualification. Candidates are expected to undertake transnational mobility (i.e. move from one country to another). Hence, candidates can only apply for positions in countries where they have stayed less than 12 months during the last 3 years.

Conditions of employment
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Contract type: Temporary, 4 years

Employer
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia.

Additional information
For more information about this position, please contact dr R. Happee, Associate Professor, e-mail: r.happee@tudelft.nl, tel.: +31 1527883213.

To apply, please submit a letter of motivation and your resume by email to application-3mE@tudelft.nl. Interviews are ongoing until the position is filled (rapid application is recommended). When applying for this position, please refer to vacancy number 3mE19-53 in the subject of the email.

Support position

Secretaresse

        Functieomschrijving

Voor het afdelingssecretariaat zijn we op zoek naar een secretaresse die het leuk vindt om in een internationale en dynamische omgeving te werken. Je verzorgt de administratieve verwerking van uiteenlopende zaken, zoals aanstellingen en bestellingen. Je  beheert o.a. de agenda van de afdelingsvoorzitter en speelt een grote rol bij de organisatie van diverse bijeenkomsten. Je ondersteunt buitenlandse gasten en medewerkers voor en na aankomst in Nederland (bij o.a. huisvesting) en je bent eerste aanspreekpunt voor medewerkers en bezoekers. Je notuleert vergaderingen in het Engels en bewaakt een adequate follow up van de actiepunten. Je stelt zelfstandig prioriteiten voor de opdrachtgever en toont initiatief bij alle werkzaamheden die op je pad komen. Verder ben je gericht op samenwerking en help je collega-secretaresses.

        Functie-eisen

  • MBO+ werk- en denkniveau (bij voorkeur op basis van een afgeronde secretaresseopleiding)
  • Ervaring met notuleren (in de Nederlandse en Engelse taal)
  • Beschikbaar op maandag, donderdag en vrijdag
  • Ervaring met Microsoft (Word, Excel, Outlook)
  • Ervaring binnen een universitaire organisatie is een pre. 


We verwachten een zelfstandige, servicegerichte, proactieve en accurate instelling en een sterk ontwikkeld organisatorisch vermogen. Verder ben je een echte teamplayer, die stressbestendig, flexibel en integer is.
De TU Delft is een internationale, tweetalige organisatie. Een goede mondelinge en schriftelijke beheersing van de Nederlandse en Engelse taal is een vereiste.

        Arbeidsvoorwaarden

Dienstverband voor bepaalde tijd: Contract voor 1 jaar met uitzicht op verlenging.

De functie heeft een omvang van 24 uur (0, 6 fte) per week. Het betreft een (tijdelijke) aanstelling van een jaar met uitzicht op verlenging. Het salaris is gebaseerd op schaal 7 (met een maximum van € 3052,-- bruto per maand bij een fulltime aanstelling). Daarnaast biedt TU Delft een aantrekkelijk pakket secundaire arbeidsvoorwaarden, zoals een flexibele werkweek, korting bij zorgverzekeraars, en de mogelijkheid om jaarlijks een individueel arbeidsvoorwaardenpakket samen te stellen. Op de campus is een Internationaal Kindcentrum met kinderopvang, voor- en naschoolse opvang en een internationale basisschool. Verder biedt Dual Career Services ondersteuning aan meekomende partners. Het salaris en de arbeidsvoorwaarden zijn gebaseerd op de CAO Nederlandse Universiteiten.

        Werkgever

Technische Universiteit Delft

De Technische Universiteit Delft is een veelzijdige universiteit die onderwijs aanbiedt en onderzoek doet van een internationaal erkend niveau op het gebied van de technische wetenschappen. Onderwijs, onderzoek en ontwerpen zijn sterk gericht op maatschappelijke toepasbaarheid. De TU Delft ontwikkelt technologie voor volgende generaties met focus op duurzaamheid, veiligheid en economische vitaliteit. Bij de TU Delft werk je in een omgeving waar technische wetenschappen en de maatschappij elkaar ontmoeten. De TU Delft bestaat uit 8 faculteiten, de Universiteitsdienst, unieke laboratoria, onderzoeksinstituten en -scholen.

        Afdeling

Faculteit Werktuigbouwkunde, Maritieme Techniek en Technische Materiaalwetenschappen

De medewerkers van de faculteit 3mE verrichten grensverleggend en baanbrekend onderzoek dat tot uitdagende toepassingen en nieuwe fundamentele inzichten leidt op de terreinen werktuigbouwkunde, maritieme techniek en materiaalwetenschappen. De basis en resultaten van dit onderzoek vinden hun weerslag in uitstekend eigentijds en modern vormgegeven onderwijs. Dit onderwijs is de inspiratiebron voor 3mE-studenten om zich te ontwikkelen tot maatschappelijk betrokken en verantwoordelijke ingenieurs en wetenschappers die op een uitstekende wijze hun competenties en kennis weten te benutten voor het oplossen van maatschappelijke problemen en het ontwikkelen van waardevolle technologische innovaties.

De afdeling Cognitive Robotics (CoR) is een van de zeven afdelingen van de faculteit 3mE. Deze nieuwe afdeling is in de zomer van 2017 gevormd vanuit twee bestaande afdelingen BioMechanical Engineering en DCSC, met als doel excellent onderwijs en onderzoek te verzorgen op het gebied van robotica en intelligente systemen geïntegreerd in menselijke omgevingen. Daarbij kun je denken aan intelligente voertuigen, of robots in industriële omgevingen die met mensen kunnen samenwerken, of van ze kunnen leren. Deze toepassingen en de onderliggende wetenschappelijke uitdagingen worden aangegaan via onderzoek op het gebied van intelligente waarneming, (semi-)autonome systemen, planning en sturing van beweging, en ontwerp en evaluatie van interactie tussen mens en robot.

        Additionele informatie

Voor informatie over deze vacature kun je contact opnemen met Rosanne Verdelman, Afdelingssecretaris, e-mail: r.a.verdelman@tudelft.nl, tel: 015-2785264.