Postdoctoral research position in autonomous vehicle AI/ML safety framework

27 Feb 2024
Job Information

Organisation/Company

Czech Technical University in Prague

Research Field

Engineering » Control engineering

Researcher Profile

Recognised Researcher (R2)
Established Researcher (R3)
Leading Researcher (R4)

Country

Czech Republic

Application Deadline

1 Mar 2024 - 23:35 (Europe/Prague)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

1 Jun 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

#3-13

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Czech Technical University in Prague (CTU) now offers a new fellowship program, the CTU Global Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor. The fellowship aims at external international scientists who are currently conducting research abroad. Applicants must have completed their PhD within the last seven years. The fellowship aims at authors (co-authors) of three or more publications in a journal with IF. 

Our group research interested is in Cooperative, Connected, and Automated Mobility (CCAM), with a primary focus on autonomous vehicle safety frameworks aligned with the evolving landscape of AI and ML technologies. Our commitment is to contribute to the certification potential of these cutting-edge technologies, ensuring their seamless integration into road transportation systems. We collaborate closely with industrial partners engaged in the development of road vehicles, vehicle-to-vehicle (V2V), and vehicle-to-everything (V2X) communication devices.

In pursuit of our objectives, we delve into various critical areas:

Autonomous Vehicle Safety Framework: Investigating the design and verification of safety frameworks for autonomous vehicles, leveraging V2V and V2X communication, redundant sensor technologies (IMU, GPS, LiDAR, radar, etc.), and sophisticated autonomous driving algorithms. Our framework empowers vehicles to assess driving and emergency strategies, track trajectories based concurrently and collaboratively on a traffic level arbiter and ensure the safety framework's compatibility with certification requirements.

Traffic and Formation Level Control: Exploring methods to control and coordinate vehicles at both traffic and formation levels using V2V and V2X communication. This approach optimizes speed, spacing, and lane changes, leading to improved active safety, comfort, and overall traffic and vehicle efficiency. Holistically optimizing factors such as energy consumption, flow, and vehicle wear is central to our research.

As a potential candidate, you will have the opportunity to join a specific research project based on your professional experience and preferences. Additionally, we encourage the generation of innovative ideas as you familiarize yourself with our research group and engage with our industrial partners. Successful candidates will also be invited to co-supervise graduate students involved in these transformative projects. Join us in shaping the future of autonomous and connected mobility, contributing to enhanced road safety, traffic efficiency, and environmental sustainability.

Requirements

Research Field

Engineering

Education Level

PhD or equivalent

Skills/Qualifications

We are seeking a postdoctoral researcher who has a Ph.D. in control systems and a solid knowledge of mathematical control theory, especially in optimal/optimization-based control and estimation, with applications in automotive or aerospace domain. The ideal candidate will have good skills in physical modeling and data manipulation. They should have a strong engineering mindset and a high motivation to tackle real industrial challenges. The successful candidate will be interested in one or more of the following areas: vehicle dynamics and control, intelligent transportation systems, vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X) communication. They should be able to work well in a team and have excellent communication skills. This position is suitable for both entry-level and experienced postdoctoral researchers.

Languages

ENGLISH

Level

Excellent

Internal Application form(s) needed
CVUT.VAV-GPFP.APPLICATION-2023.1-EN_2.pdf
English
(41.61 KB - PDF)
Download
Additional Information
Benefits

Salary: 65 000 CZK

Selection process

Applications will be assessed by a committee, based on documents sent by applicants. The mentor has a strong vote in the selection process.

To apply for the CTU Global Postdoc Fellowship you need the following documents in English:

• CV, including list of publications (max. 4 pages). At least three IF (Impact Factor. We follow the Web of Science Journal Citation Reports )  journal publications are expected. Papers accepted for publication yet waiting to be printed do count if a proof of acceptance is provided.
• Motivation letter (max. 2 pages).
• PhD certificate (copy).
• A cover letter (See Application for CTU Global Postdoc Fellowship form)
• You may attach other documents supporting your application such as recommendation letters etc.

Additional comments

Mentor: Tomáš Haniš, Faculty of Electrical Engineering, [email protected] , 

https://sds.fel.cvut.cz/home / https://scholar.google.com/citations?user=BWvaSYsAAAAJ&hl=en&oi=ao

https://sds.fel.cvut.cz/Team/hanis_t

https://orcid.org/0000-0003-1738-2589

 

 

Work Location(s)

Number of offers available

1

Company/Institute

Czech Technical University in Prague / Faculty of Electrical Engineering

Country

Czech Republic

City

Prague

Postal Code

166 27

Street

Technická 2

Where to apply

E-mail

[email protected]

Contact

State/Province

Czech Republic

City

Prague

Website

https://www.cvut.cz/en
https://sds.fel.cvut.cz/open-positions

Street

Technická 2

Postal Code

166 27

E-Mail

[email protected]

STATUS: EXPIRED