Postdoctoral research position in self-supervised learning in machine perception

27 Feb 2024
Job Information

Organisation/Company

Czech Technical University in Prague

Research Field

Computer science » Cybernetics
Computer science » Informatics
Engineering » Control engineering

Researcher Profile

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

Country

Czech Republic

Application Deadline

30 Mar 2024 - 23:59 (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

#3-21

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. 

While collecting vast amounts of data from various onboard sensors on contemporary vehicles is easy, providing manual annotations for supervised learning is extremely challenging and consequently expensive. It is especially appealing in safety-critical applications of autonomous driving, where performance requirements are extreme and datasets are large. We leverage the strong prior knowledge about various semantic classes that appear in traffic scenarios in order to construct novel self-supervised losses that allow learning from these unlabeled data. These losses typically encode first-principle models (learning the 3D flow and terrain models from sequential data or learning the 3D shapes of objects) or behavioral patterns induced by traffic rules (learning to predict future motion).  

Group and supervision: Research will be conducted within the Vision and  Robotics Group under the supervision of Prof. Tomas Svoboda. The group has extensive experience with real robotics, such as successful participation in the DARPA SubT challenge (https://robotics.fel.cvut.cz/cras/darpa-subt/ ) and several state-of-the-art robotics platforms and sensors (https://robotics.fel.cvut.cz/cras/robots/ ). The Department has access to a high-performance computational cluster dedicated to artificial intelligence research and developments using traditional multi-CPU systems, but also GPUs.

Requirements

Research Field

Engineering

Education Level

PhD or equivalent

Skills/Qualifications

We seek highly motivated applicants with a PhD in robotics, AI, or related fields and a proven track record relevant to the topic - publications in top journals or conferences (e.g. computer vision (CVPR/ICCV/ECCV), machine learning (NeurIPS/ICML), or robotics (ICRA, IROS, RSS, CoRL; IEEE-TRO, IJRR). 

 

Languages

ENGLISH

Level

Excellent

Internal Application form(s) needed
CVUT.VAV-GPFP.APPLICATION-2023.1-EN_9.pdf
English
(41.61 KB - PDF)
Download
Additional Information
Benefits

Salary: 70 000 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 Svoboda, Faculty of Electrical Engineering, [email protected] , H-index (WOS) 13 

http://orcid.org/0000-0002-7184-1785

https://cmp.felk.cvut.cz/~svoboda/
https://scholar.google.com/citations?hl=en&user=ec4ZOF0AAAAJ

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://cyber.felk.cvut.cz/vras
https://cmp.felk.cvut.cz/~svoboda

Street

Jugoslavskych partyzanu 1580/3

Postal Code

16000

E-Mail

[email protected]

STATUS: EXPIRED