Job Openings

Professor position

Assist./Assoc. Professor in Data Fusion for Intelligent Vehicles

Department/faculty: Faculty Mechanical, Maritime and Materials Engineering
Level: Doctorate
Working hours: 38.0 hours weekly
Salary: € 3545 - € 6567 euros monthly (full-time basis)
Pdf version of vacancy here

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 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.

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/I NS) 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

  • Vehicle localization and 3D mapping

  • Distributed sensing

  • Life-long mapping of large scale environments

  • Statistical methods and machine learning

  • Deep learning for 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 recognised academic. To support that, we offer a structured career and personal development programme, which accounts for individual needs and preferences. For more information about the tenure track and the personal development programme, 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.

The 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. 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. 

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

  • contact data of three references. 

Applications should be submitted to Application-3mE@tudelft.nl, referring to vacancy number 3mE18-60 in the subject of the email. Application deadline is 15 October 2018.

Enquiries from agencies are not appreciated

Postdoc position

Decision making and learning for mobile robots

The Cognitive Robotics Department (CoR) and the Delft Center for Systems and Control (DCSC) at the Delft University of Technology, the Netherlands, announce a vacancy for a postdoc position on:

Decision making and learning for mobile robots
(pdf version available here)

Project description

The goal of this project is to develop novel motion planning techniques for mobile robots, which build upon state of the art machine learning, yet provide structural guarantees. Theory will be developed and then tested with one of the available robotic platforms in the lab, that include Micro Air Vehicles, mobile manipulators and a self-driving car. We are broadly interested in any of the following research topics:

-       Multi-robot learning

-       Machine learning for motion planning of mobile robots in dynamic environments

-       Real-time and reliable decision-making tools under uncertainty

The exact research topic can be adapted to the applicant's background and interests.

The researcher will be jointly supervised by Prof. Jens Kober and Prof. Javier Alonso-Mora from CoR and Prof. Peyman Mohajerin Esfahani from DCSC. Our current research covers machine learning for robot control, data-driven-optimization, motion planning and multi-robot control. For a glimpse of our research visit www.alonsomora.com, www.jenskober.de, and www.dcsc.tudelft.nl/~mohajerin/.

What do we ask?

We are looking for a candidate with a PhD degree in systems and control, robotics, operations research, 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.

What do we offer?

We offer the opportunity to do scientifically challenging research in a multi-disciplinary research group. As an employee of the university you will receive a competitive salary. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. Assistance with accommodation can be arranged. The position is available immediately and the starting date is flexible, preferably before the end of 2018.

How to apply?

Please submit your application by email to Dr. Alonso-Mora (J.AlonsoMora@tudelft.nl). Applications will be reviewed until the position is filled. Include a detailed curriculum vitae, a motivation letter stating why the proposed research topic interests you, links to your top three publications, the names and addresses of two reference persons, and any other information that might be relevant to your application.

About 3mE and TU Delft

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. TU Delft consistently ranks among the top universities in the engineering field.

Senior Electronics Engineer position

Senior Electronics Engineer

Faculty/department Mechanical, Maritime and Materials Engineering
Level Bachelor degree
Maximum employment Maximum of 38 hours per week (1 FTE)
Duration of contract 1 year initially, prospect of extension
Salary scale €2588 to €4084 per month gross
Download pdf here.

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 demonstrable economic and social benefits.

A main focus of the 3mE Faculty at the TU Delft is the development of intelligent robotic devices that will advance mobility, productivity, and quality of life. The Department of Cognitive Robotics has the mission of bringing robotic solutions into human-inhabited environments. We combine fundamental research with work with physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators, and haptic interfaces. Strong collaborations exist within cross-faculty institutes (TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics), international industry, and academia.

The Department of Cognitive Robotics is looking for an electronics engineer (BSc or Master), with extensive experience in design and programming of real-time embedded electronics.

Job description
You will be involved in the design, testing, and commercialisation of advanced ground and aerial robotic platforms for industry, inspection, agriculture, and transport including self-driving cars; more specifically, you will be responsible for:
* Conceptual electronics design
* Electronics development
* Software development
* Mechatronics design.
You will support students, PhD students, post-docs and our scientific staff in their research and education. You will participate in research projects where you will offer technical advice, support, and supervision during the preparation, execution, and evaluation phases of the projects. An important aspect is the supervision and care for a safe working environment.

We offer support in the form of workshop personnel and manufacturing facilities.

Requirements
Applicants should have the following qualifications:
* Experience with embedded hardware design: Design of advanced electronics to control real-time robotic systems, including PCB design and layout (with ALTIUM or others), choice of and communication with components such as microcontrollers, sensors, and actuators.
* Experience with design of digital and analogue electronics
* Experience with embedded software for such devices, handling of time-critical systems, real-time behaviour, with and without operating systems (bare-metal programming)
* Experience with design and integration of electronics with mechanical parts
* Preferably experience with x86 & ARM architectures, (ATMEL) microcontrollers, C/C++-based programming, GNU toolchain, vendor-specific toolchains

Conditions of employment
The 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.

Information and application
For more information about this position, please contact Prof. M. Wisse, phone: +31 (0)15-278-6834, e-mail: M.Wisse@tudelft.nl. To apply, please e-mail a detailed CV and letter of application by 15 March 2018 to N. van Benthem, application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE18-14.

ROS-developer position

ROS-developer position within the context of the EU project “System for Robotics”

Location

Delft

Function types

Research, Development, Innovation, Technical, Laboratory positions, IT

Scientific fields

Engineering

Hours

38.0 - 40.0 hours per week

Salary

€ 2465 - € 3292

Education

University Graduate

Job number

3mE18-41

Translations

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/48129

PDF file

Klik hier voor pdf

Job description
The department of Cognitive Robotics within the Delft University of Technology, the Netherlands, is looking for candidates for a ROS-developer position within the context of the EU project “System for Robotics”.

Our goal with this project is to further develop the ROS-Industrial community and to help scale-ups (with robotics) to grow faster by assisting them with implementing and using ROS-Industrial software for their smart robotic implementations.

Job description:
•  day-to-day System for Robotics project management
•  various ROS development and implementation activities on-site at the participating European SME’s
•  strong contribution to the ROS-I community, e.g. contributing to “ROS-Answers”
•  contribution to ongoing research projects within our department “Cognitive Robotics”
•  contribution to ROS applications for SME’s through our RoboHouse research centre
•  contribution to ROS applications in our Smart Advanced Manufacturing (eXtra Large) research centre for composite production automation. 

 

RequirementsWhat do we ask?

The ideal candidate for this position has an MSc degree in Robotics, Computer Science, Computer Engineering or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. Additionally, important characteristics of a successful candidate are:
communication skills (with business owners and technical employees of SMEs)
experience with software quality and testing approaches
programming experience: C++, Python
experience with ROS
affinity with industrial robotics and automation
excellent written and verbal English skills.

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.

Contract type: Temporary, 1 year with possibility of extension to 3 years

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.

 

DepartmentFaculty Mechanical, Maritime and Materials Engineering

The department of Cognitive Robotics is part of the Faculty of 3mE, which trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. The department of Cognitive Robotics is also one of the core groups of the TU Delft Robotics Institute, which is a quickly growing interdepartmental organization with over 150 robotics-oriented researchers from 6 departments ranging from Computer Science to Industrial Design Engineering. More information at robotics.tudelft.nl.

Additional information
For more information about this position, please contac  Prof. Martijn Wisse, email: m.wisse@tudelft.nl. For information about the selectionprocedure, please contact Annekee Vervoort, HR advisor, email: application-3mE@tudelft.nl.

To apply please submit  your application letter and a detailed cv by 26 June 2018 to Annekee Vervoort, email: application-3mE@tudelft.nl
When applying for this position, please refer to vacancy number 3mE18-41.

 

PhD position

PhD in Efficient Deep Learning for Mapping and Localization of Intelligent Vehicles

For a pdf version, click here.

 

Location

Delft

Function types

PhD positions

Scientific fields

Engineering, Sciences

Hours

38.0 - 40.0 hours per week

Salary

€ 2222 - € 2840

Education

University Graduate

Job number

3mE18-44

Translations

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/48380

 

Job description
The Intelligent Vehicles group at the TU Delft is seeking a PhD candidate with an interest in performing cutting edge research in the active and exciting research area of self-driving vehicles, in collaboration with TomTom, a global leader in mapping and navigation products.

Currently, highly automated vehicles commonly rely on detailed 3D maps created with SLAM algorithms and LIDAR data for accurate self-localization. However, these representations do not scale, are sensitive to changes in the environment, are sensor specific, and also computationally intensive. TomTom’s research product RoadDNA takes an alternative approaches to represent the road environment more efficiently. However, it uses a hand-engineered representation, which is mainly target at highway environments sensed with LIDAR at a fixed compression rate.

This PhD will instead develop optimized representations for mapping and localization in complex urban environments by learning robust semantic feature representations through end-to-end weakly-supervised deep-learning. The novel methods can additionally support rough priors provided by GPS, structural priors from aerial imagery and existing map data, or even temporal context. A learned representation can thus focus on features which matter most in the local area, and henceforth reduce its size, and increase localization efficiency. Higher-level features are additionally more robust against environmental changes, and could be transferred between multi-modal sensor setups or multiple viewpoints.     

RequirementsProspective applicants should have a strong academic record in computer science, artificial intelligence or robotics with solid background in machine learning, probabilistic graphical models, computer vision and/or robot localization. Good software development and programming skills are expected, preferably in C++ and Python/MATLAB. Knowledge of deep-learning frameworks (Torch/TensorFlow/Caffe) and CUDA/OpenCV/ROS is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. All 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.

Research will be performed in collaboration with TomTom R&D, in Amsterdam, where the candidate is expected to work on average about 0,2 FTE.

Conditions of employmentTU 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

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 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. For more information, see https://www.tudelft.nl/en/3me/departments/cognitive-robotics-cor/.

Additional information

To apply, please prepare:

  • a letter of motivation explaining why you are the right candidate,

  • a detailed CV,

  • a complete record of Bachelor and Master courses (including grades),

  • your Master’s Thesis,

  • any publications, and a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), and the names and contact addresses of two 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 3mE18-44.

If you still have specific questions about this position, please contact dr J.F.P. (Julian) Kooij, e-mail: J.F.P.Kooij@tudelft.nl. Please do not send applications emails here, but use the specified address above.

 

 

PhD in Pedestrian/Cyclist Motion Prediction for Self-Driving Vehicles

Locatie

Delft

Functietypes

PhD positions

Wetenschappelijke discipline

Engineering

Uren

38,0 - 40,0 uren per week

Salaris

€ 2266 - € 2897

Werk-/denkniveau

University Graduate

Vacaturenummer

3mE18-55

Vertalingen

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/49132

 

PFD version here


Functiebeschrijving

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.

Functie-eisen

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.

Arbeidsvoorwaarden

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

Dienstverband: Temporary, 4 years

Werkgever

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.

Afdeling

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 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).

Additionele informatie

For 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), and

·         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 3mE18-55 in the subject of the email.

 

PhD in Interactive Imitation Learning

The Cognitive Robotics department at Delft University of Technology, The Netherlands, announce a vacancy for one

                                                          PhD student Interactive Imitation 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 PhD will explore various aspects of interactive imitation learning: robot-driven disambiguation, the robot actively testing possibilities, as well as user-driven corrections. 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 PhD position is in the context of the project “Teaching Robots Interactively” (TERI), funded by the European Research Council as ERC Starting Grant.

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 robotics and/or machine learning are especially encouraged to apply.

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.

Specifications
Contract: Temporary, 4 years.
Hours: 38.0 - 40.0 hours per week
Salary: €2266 - €2897 per month gross

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. https://www.tudelft.nl
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. 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. http://www.cor.tudelft.nl/

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 letter of motivation explaining why you are the right candidate,
  • a detailed CV,
  • a complete record of Bachelor and Master courses (including grades),
  • 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), and
  • the names and contact addresses of two or 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 3mE18-68. The call for applications will remain open until the ideal candidate is found. The earliest starting date is 1 February 2019.

Pdf version click here.

Academic transfer
https://www.academictransfer.com/50103/

Research Engineer position

Research Engineer Position on Large-scale Fleet Routing in Urban Mobility Systems

Click here for pdf version of the vacancy

Cognitive Robotics
The Cognitive Robotics Department (CoR) at the Delft University of Technology, the Netherlands, announces a vacancy for a research engineer position on:

Large-scale Fleet Routing in Urban Mobility Systems Project description
Within this project, we develop methods and tools for dynamically routing of a fleet of autonomous vehicles in urban environments. The methods are further used to study the potential of autonomous taxis to provide mobility-on-demand with ride pooling, i.e. ride-sharing,in the cities such as Amsterdam or New York.

The researcher will be supervised by Prof. Javier Alonso-Mora from CoR and work in collaboration with the Amsterdam Institute for Advanced Metropolitan Solutions (AMS) and MIT. For a glimpse of our research visit www.alonsomora.com.

What do we ask?
We are looking for a student or a graduate in systems and control, robotics, operations research, applied mathematics, artificial intelligence, machine learning, or a related subject. The candidate should have experience with implementing algorithms in C++ and with data processing in Python. A very good command of the English language is also needed.

What do we offer?
With this 3-6 month internship, we offer the opportunity to get involved in ground-breaking research in the area of future urban transportation. As an employee of the university you will receive a competitive salary.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The position is available immediately.

How to apply?
Please submit your application by email to Prof. Alonso-Mora (J.AlonsoMora@tudelft.nl). Applications will be reviewed until the position is filled. Include a detailed curriculum vitae, a motivation letter stating why the proposed research topic interests you, links to examples of code that you have written, the names and addresses of two reference persons, and any other information that might be relevant to your application.

About 3mE and TU DelftThe 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. TU Delft consistently ranks among the top universities in the engineering field.