Call for Position: DTIC-PLCT-2024-6 Research Support position - Research Assistant in face and body analysis

10 Jan 2024
Job Information

Organisation/Company

Universitat Pompeu Fabra - ETIC

Department

Tecnologies de la Informació i les Comunicacions

Research Field

Engineering

Researcher Profile

First Stage Researcher (R1)

Country

Spain

Application Deadline

24 Jan 2024 - 23:59 (Europe/Madrid)

Type of Contract

Other

Job Status

Full-time

Hours Per Week

35

Is the job funded through the EU Research Framework Programme?

HE

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

No

Offer Description

Project description: 

The Intelligent Multimodal Vision Analysis group (IMVA) is looking for a Research Developer in the context of the European project EMERALD (https://www.upf.edu/web/emerald ). The IMVA group within EMERALD investigates computer vision techniques to improve matting, sport analytics and estimation of presenter’s interaction.

This job is expected to contribute to the development of an end-to-end Deep Learning approach for the estimation of face and body orientation of TV presenters and related media applications, with reduced amounts and efficient use of training data. 

This research is part of a European funded project related to Artificial Intelligence and Process Automation for Sustainable Entertainment and Media, namely, the EMERALD project with Grant agreement ID: 101119800, HORIZON-CLh4-2022-DIGITAL-EMERGING-02 (https://cordis.europa.eu/project/id/101119800 ).

The candidate will work in close relation with researchers at the University and researchers at leading companies that produce real-time 3D graphics and virtual set solutions for broadcasters and film producers.

Tasks to be performed:

• To develop an end-to-end Deep Learning approach for the estimation of face and body orientation of TV presenters and related media applications, with reduced amounts and efficient use of training data.
• Prepare reports and documentation of the developed technology / techniques.
• Close interaction with end users at broadcasting sites to test and validate the developed technology.

The above tasks are framed within work-package 4 of Emerald project and their duration is estimated over a period of 12 month.

Dedication and working hours: Full time (35h/week).

Planned remuneration approx: From 31.982,86 to 39.376 gross per year based on experience and skills.

Main research field: computer vision / deep learning.

Financing fund: PREUR02823 - HEu-CL4-101119800-EMERALD-C.Ballester, projecte “AI and Process Automation for Sustainable Entertainment and Media”, Horizon Europe (2021-2027).

This position is funded by the EUROPEAN UNION, Program Horizon Europe (2021-2027).

Requirements

Research Field

Engineering

Education Level

Bachelor Degree or equivalent

Specific Requirements

• Engineering, Math or informatics degree (or equivalent).
• Experience in (one or multiple areas) computer vision, video processing, machine learning, deep learning, pattern recognition.
• Excellent programming skills and knowledge of relevant programming languages and development platforms for deep learning (e.g. Python, PyTorch).
• Good communication skills in English, both written and oral.

The expected start date is February 15th 2024, the job is in Barcelona, and Nie and a work permit is required.

Additional Information
Eligibility criteria

Selection criteria: The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview. Valuation will be as follows:

• Academic Background (0-20 points).
• Professional experience and Adequacy to the proposed profile (0-60 points): 
  • Proven experience in developing/training deep learning architectures for Computer Vision problems.
  • Ability to work independently and as part of a team.
  • Strong communications and interpersonal skills.
• Other merits (20 points). Experience in research-oriented projects. Ability to read, understand and be able to use code from research papers of the field.

The minimum score to pass the selection process is 70 points. The candidate with the highest score in the selection process will be awarded the job.

Additional comments

For more information about the call, how to apply, the list of those admitted and excluded, as well as the hiring proposal, check the website: https://www.upf.edu/web/etic/management

Work Location(s)

Number of offers available

1

Company/Institute

Universitat Pompeu Fabra - ETIC

Country

Spain

City

Barcelona

Postal Code

08018

Street

Roc Boronat 138

Geofield

Where to apply

Website

https://www.upf.edu/web/etic/management

Contact

City

Barcelona

Website

https://www.upf.edu/web/etic/working_etic

Street

Roc Boronat 138

Postal Code

08018

E-Mail

[email protected]
[email protected]

STATUS: EXPIRED