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.

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

Safe Reinforcement Learning for Motion Planning: Simulator

Job description

An open-source real-world simulation environment will be built by incorporating physics engine and perception algorithms to test reinforcement learning algorithms. The PostDoc will establish a standard test set that considers multiple influencing factors such as multiple platforms, multiple operating conditions and multiple system configurations. A flexible and reliable task configuration reference standard for different scenarios can be derived. In this project, we will collaborate with AnkoBot to develop novel smart and safe cleaning robots’ concepts. 

Requirements

The candidate is expected to have background and interest in control theory, machine learning and software/hardware system development. Knowledge on unmanned system, motion planning, and/or ROS will be an advantage. 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: 12 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. 

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 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. Wei Pan, e-mail: wei.pan@tudelft.nl. Please do not send application emails here but use the specified address below.

To apply, please prepare:

1.          a cover letter

2.          a separate letter of motivation explaining why you are the right candidate for this project

3.          a detailed CV,

4.          electronic copies of your top three publications,

5.          the names and contact addresses of two or three references,

6.          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 3mE19-111.

The review of applications will start on January 15, 2020 and continue until the position is filled. The intended starting date is as soon as possible.

Safe Reinforcement Learning for Motion Planning: Theory

Job description

Reinforcement learning (RL) is showing increasing potential in real-world robotic applications, however, theoretical guarantees for RL such as stability, robustness and safety are still missing. The goal of this project is to close the gap between control theory and black-box RL methods and produce a stability-guaranteed RL method with a focus in home robotics applications. The PostDoc will explore how to guarantee the stability properties in RL for the general class of nonlinear stochastic systems. In this project, we will collaborate with AnKobot to develop novel smart and safe cleaning robots’ concepts. 

Requirements

The candidate is expected to be able to explore tools in both control theory, machine learning, stochastic process and probability theory. Thus, 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 study on stochastic process is a plus. Experience with real robot applications is also 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: 12 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.   

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.

https://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. 

Additional information

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

To apply, please prepare:

1.      a cover letter

2.      a separate letter of motivation explaining why you are the right candidate for this project

3.      a detailed CV,

4.      electronic copies of your top three publications,

5.      the names and contact addresses of two or three references,

6.      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 3mE19-112.

The review of applications will start on January 15, 2020 and continue until the position is filled. The intended starting date is as soon as possible.

Stochastic Modelling of Driving Risk for Autonomous Vehicles

Job description

Delft University of Technology invites applications for a PostDoc researcher position in the European project “SAFE-UP: proactive SAFEty systems and tools for a constantly UPgrading road environment”.

Future transport and mobility will be disrupted by innovations in Connected Automated Vehicles (CAVs), in which safety will be of the highest priority. SAFE-UP aims to proactively address the upcoming safety challenges by developing innovative technologies and testing and assessment methods. SAFE-UP is based on 3 key pillars: i) future safety-critical scenarios, ii) new safety technologies, and iii) novel safety assessment methodologies. Future safety-critical scenarios will be designed and analysed in a highly automated and mixed traffic environment in a traffic simulation platform. Based on these scenarios, new safety technologies for active and passive systems will be developed, resulting in 4 Demos. The SAFE-UP consortium consists of key players in mobility across the entire value chain: advanced OEMs, leading suppliers & industry, and academia.

The main task associated with this position is to build a stochastic model to quantify the risk of on-road driving, in particular, it involves:

1.      development of on-road driving risk metric using stochastic models and reachability analysis;

2.      validation of the risk metric with natrualistic driving data;

3.      development of computational tool for risk metric and integration of the tool into traffic simulation framework;

4.      adaptation of the risk metric for online risk assessment for motion planning purposes.

Requirements

The successful candidate should have a solid background in one or more of the following fields: transporation engineering, systems and control, robotics motion planning, statistics and mathematics.

Further requirements are: good communication skills; self-sufficient working attitude, but also a good ability to act in a team; and excellent English level (speaking, reading, and writing).

Conditions of employment

Fixed-term contract: 28 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.

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 of Civil Engineering and Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water management and hydrolic engineering. The research covers global social issues and is closely connected to education as well as the work of a wide range of knowledge institutions. CEG is convinced that Open Science helps to realise these goals and supports its scientists in integrating Open Science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.
For more information see: www.tudelft.nl/ceg.

TU Delft was ranked the first in the Shanghai ranking on Transportation science & Technology in 2017. The Transport and Planning Department (T&P) at the faculty of Civil Engineering and Geosciences (CiTG) has been awarded the maximum score for all research assessments for the last 15 years. The faculty was ranked 4th place in the latest QS world university ranking in Civl Engineering. T&P (with about 120 members) has a strong track record in traffic flow theory, traffic safety, dynamic traffic management and intelligent transport systems of all transport modes, including railway, pedestrians and urban public transport. A trademark of the department is the use of empirical data, incorporating human factors and advanced modelling tools.
For more information see: www.tudelft.nl/ceg/tp.

Additional information

For information about this vacancy, you can contact Dr. Meng Wang, Assistant Professor, email: m.wang@tudelft.nl, tel: +31 (0)15 27 83401, or, Dr. Javier Alonso-Mora, Assistant Professor, email: j.alonsomora@tudelft.nl.

For information about the selection procedure, please contact Dr. Wang, email: m.wang@tudelft.nl.

To apply, please e-mail your CV, list of publications, abstract of your PhD thesis (1 page), along with a letter of application in a single PDF file entitled “CiTG20.05_Lastname.pdf” to Dr. Wang via Recruitment-CiTG@tudelft.nl. The deadline for the application is 1 April 2020 and evaluation of applications will continue until the position is filled.