Research activities on robust world models and image generation using efficient Machine Learning models

Reference Number: 2026/CP/213

Is the Job related to staff position within a Research Infrastructure?: No

Offer Description

Funding Reference: ED431C 2026/38 (GRC)

Title: Programme for the Consolidation and Structuring of Competitive Research Units within the Galician University System. Competitive Reference Groups Modality

Research Line / Scientific-Technical Services: Agent-based modelling, multi-agent systems and machine learning

FUNDING PERIOD: START: 01/01/2026 — END: 20/11/2030

Main Research Centre: Faculty of Computer Science

PURPOSE OF THE CONTRACT: Research activities on robust world models and image generation using efficient Machine Learning models

The successful candidate will collaborate on the research tasks of the project/agreement indicated above.

LOCATION AND WORKING HOURS: Faculty of Computer Science. Monday to Friday, from 9:00 a.m. to 2:00 p.m. and from 4:00 p.m. to 6:00 p.m. (35 hours/week)

TASKS TO BE PERFORMED

Research support tasks related to robust world models and image generation using efficient Machine Learning models.

Where to apply

Website: https://sede.udc.gal/services/electronic_board/EXP2026/008821

Requirements

Research Field: Computer science » Database management

Education Level: Bachelor Degree or equivalent

Skills/Qualifications

Bachelor’s Degree in Data Engineering and Data Science or equivalent.

Specific Requirements

• Required qualification: Bachelor’s Degree, Master’s Degree or equivalent.
• Demonstrable experience in the Python programming language, which may be evidenced through courses, software projects on platforms such as GitHub, undergraduate dissertations or similar.
• Demonstrable experience in Machine Learning, which may be evidenced through courses, software projects on platforms such as GitHub, undergraduate dissertations or similar.

Additional Information

Eligibility criteria

SELECTION CRITERIA (maximum 100 points)

A. Academic record for a Bachelor’s Degree in Data Science and Engineering or a related field (max. 35 points). If the degree is in a related field, the score obtained will be multiplied by 0.5. Other qualifications will not be awarded points under this criterion.

B. Academic record for a Master’s Degree in Artificial Intelligence or a related field (max. 15 points). If the degree is in a related field, the score obtained will be multiplied by 0.5. Other qualifications will not be awarded points under this criterion.

C. Demonstrable knowledge in the areas related to the tasks to be performed (Machine Learning and environments such as Python, PyTorch, TensorFlow and others), which may be evidenced through software projects on platforms such as GitHub, undergraduate or master’s dissertations, or similar work: up to 15 points:

• Experience with world models: 2 points per course and 5 points for a Bachelor’s or Master’s thesis.
• Courses related to Machine Learning: 2 points per course, up to 5 points.
• Practical experience with TensorFlow/PyTorch: 2 points per course and 5 points for a Bachelor’s or Master’s thesis, up to 5 points.
• Verifiable personal repositories (GitHub or similar) involving work on world models: up to 5 points.

D. English language proficiency: maximum 10 points. From 0.5 points for levels A1 to B2. Level C1 will be awarded 3 points and level C2 4 points.

E. Other merits not considered under the above criteria (courses, awards, etc.): maximum 5 points.

• Awards received: up to 3 points, depending on their scope: regional (1 point), national (2 points) or international (3 points).
• Training at research summer schools and similar programmes: up to 3 points (1 point per summer school attended).

F. Personal interview: 20 points. The three highest-ranked candidates will be invited for a personal interview, provided that their score in the other sections is within 15% of the highest-scoring candidate.

Maximum total score: 100 points.

Minimum score to be included on the reserve list: 60 points.

Selection process

SUBMISSION OF APPLICATIONS AND DOCUMENTATION

PLACE: UDC Electronic Headquarters.

Applications must be addressed to the Vice-Rectorate for Research and Knowledge Transfer, indicating the reference number of the call.

DEADLINE: 5 working days from the day following the publication of the call on the notice board of the UDC Electronic Headquarters.

SELECTION COMMITTEE AND PUBLICATION OF THE DECISION

SELECTION COMMITTEE (minimum of three full members and three alternate members):

Full members: Brais Cancela Barizo (TIT-UN, Chair), Bertha María Guijarro Verdiñas (TIT-UN, Secretary) and Carlos Eiras Franco (AXU-DR, Member).

Alternate members: Óscar Fontenla Romero (CAT-UN), María Amparo Alonso Betanzos (CAT-UN) and Verónica Bolón Canedo (TIT-UN).

PLACE OF PUBLICATION OF THE DECISION: Notice board of the UDC Electronic Headquarters.

Additional comments

General required documentation:

1. Copy of national identity document or passport
2. Copy of degree certificate in Spanish or English. If obtained outside the European Union it must be apostilled or legalised by the Spanish Embassy.
3. CV in English or Spanish/Galician
4. Responsible declaration that the requirements of the call are fulfilled.
5. Responsible declaration of the veracity of the data stated in the application

If you are a candidate from abroad of Spain, please contact euraxess.vit@udc.es for instructions on how to apply to this call.

Work Location(s)

Number of offers available: 1

Company/Institute: Faculty of Computer Science

Country: Spain

Contact

State/Province: A Coruña

City: A Coruña

Website: https://www.udc.es/

Street: A Maestranza 9

Postal Code: 15071

E-Mail: vit@udc.es