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Post-Doc: Intelligent Autonomous Vehicles

The researcher shall address two main research challenges relevant to automated driving: multi-vehicle conflict resolution and coordinated vehicle motion …

7 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Mekelweg, Delft, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Salarisindicatie:
€ 3111 - € 4084 per maand
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

The researcher shall address two main research challenges relevant to automated driving: multi-vehicle conflict resolution and coordinated vehicle motion control. The envisioned methodology consists of three main elements: 1) high-level decision making; 2) low-level nonlinear dynamics and control; 3) realistic simulations via commercial software. In particular, multi-agent optimization and game theory shall be exploited to model multiple intelligent vehicles driving autonomously and selfishly, typically willing to cooperate for improved safety, but not to deteriorate their individual travel time. At a lower level, intelligent control systems shall be designed for improved vehicle motion. Demonstration of the developed methods on autonomous mobile robots is also possible.     

Functie-eisen

Applications should hold a Ph.D. degree (or close to completion) in Systems and Control, or Operations Research, Automotive Engineering, or related field, with background or interest in System Theory, Automatic Control, Optimization, Game Theory. Expertise in mixed-integer optimization is appreciated. A good command of the English language is required.

Conditions

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.

For more information about this position, please contact dr.ir. S. Grammatico, s.grammatico@tudelft.nl.
Applications shall include the following documents:
• curriculum vitae;
• statement of motivation and research interests (up to one page);
• transcripts of all exams taken and obtained degrees (in English);
• names and contact information of up to three references (e.g. project/thesis supervisors);
• up to three research-oriented documents (e.g. thesis, conference/journal publications).

Please e-mail your application by 30 April 2018 to Irina Bruckner, e-mail: application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3ME18-16.

Additional information

dr.ir. S. Grammatico
https://sites.google.com/site/grammaticosergio/
s.grammatico@tudelft.nl.

Bedrijfsomschrijving

Delft University of Technology (the 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. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Faculty Mechanical, Maritime and Materials Engineering - Department Delft Center for Systems and Control (DCSC)

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 Delft Center for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics and transportation systems.