PhD Position in AI-based Multi-camera Data Analysis

19 Mar 2024
Job Information

Organisation/Company

Eindhoven University of Technology (TU/e)

Research Field

Technology

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

28 Apr 2024 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

38.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

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

No

Offer Description

The PhD candidate will work within an international research project ELEVATION in cooperation with industrial partners from Netherlands and Belgium. The general goal of the project is to automate a free viewpoint generation of synthetic video streams from multi-camera setups in the broadcast domain. The PhD candidate will perform research with potential deployment of results in industrial products of Grass Valley and Adimec.

The goal of the PhD candidate is to research and develop AI models for multi-camera data analysis and synthetic video generation. Generation of free viewpoint synthetic video streams for multi-camera broadcast setups will enable a fundamental shift in the viewing paradigm for the viewers, since they can set their own arbitrary viewpoint for watching (e.g., personal camera/channel). To enable this breakthrough, three key challenges must be solved: (a) generation of free viewpoint video frames should run in real-time, (b) the FTV algorithm-cloud mapping should be efficient and scalable to support multiple viewers, (c) the synthetic video should be accurate and photorealistic.

Requirements
Specific Requirements

For this project, a candidate with MSc degree in Electrical or Computer Engineering will be selected and hired as a doctoral student in the Signal Processing Systems/VCA group for a 4-years period. The candidate should have background knowledge in image processing, experience in working with 3D (or multi-view) geometry and excellent programming skills. Experience with depth data, point-cloud data processing, NeRF models is highly desired. Knowledge of Deep Learning algorithms is a prerequisite. Candidates should be excellent in academic writing, should have good communication skills and should be able to cooperate in a multidisciplinary team.

Additional Information
Benefits

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process .
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Additional comments

The PhD student will be working in the Video Coding Architecture group (http://vca.ele.tue.nl ) in the Department of Electrical Engineering at TU/e. The Department of Electrical Engineering is one of the nine departments of the Eindhoven University of Technology and provides BSc and MSc programs in Electrical Engineering. The department has 9 research groups and has research collaborations with other departments at the Eindhoven University of Technology as well as with a large number of other universities and companies, both within The Netherlands and internationally. The Electrical Engineering faculty has approximately 300 employees and 1.000 students.

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr.ir. Egor Bondarev, [email protected] .

Visit our website for more information about the application process or the conditions of employment. You can also contact [email protected] .

Are you inspired and would like to know more about working at TU/e? Please visit our career page .

Application

We invite you to submit a complete application by using the apply button.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Website for additional job details

https://www.academictransfer.com/339155/

Work Location(s)

Number of offers available

1

Company/Institute

Eindhoven University of Technology (TU/e)

Country

Netherlands

City

Eindhoven

Postal Code

5612 AP

Street

De Rondom 70

Geofield

Where to apply

Website

https://www.academictransfer.com/en/339155/phd-position-in-ai-based-multi-camer…

Contact

City

Eindhoven

Website

http://www.tue.nl/

Street

De Rondom 70

Postal Code

5612 AP

STATUS: EXPIRED