Research collaborator 2026/CP/241

University of A Coruña; España; On-site; EUR 16,000 - 22,000; Part time

Job summary

University of A Coruña seeks a researcher for Next-Generation Machine Learning Algorithms in the medical sleep domain. The role focuses on attention mechanisms, signal analysis, and deep learning within a funded project at the ICT Research Center (CITIC).

The candidate should hold an Engineering degree or equivalent, with strong ML and Python/TensorFlow skills, and will work on graduate-level tasks with a 17.5 h/week schedule at the CITIC building.

Qualifications

• Academic record of credits with a minimum of 240 ECTS (max 1.5 points).
• Master's degrees in Computer Science/Artificial Intelligence with a minimum of 60 ECTS credits (max 1.5 points).
• Demonstrable experience in the scope of the tasks (deep learning, Python, TensorFlow/Keras, biomedical signal processing, EDF, explainability, Human-in-the-Loop).

Responsibilities

• State-of-the-art in attention mechanisms applied to sleep studies.
• Design, implementation and evaluation of self-attention solutions.
• Integration of event identification, temporal sequences and attention mechanisms.
• Analysis of Human-In-The-Loop techniques and explainability approaches.

Skills

Deep Learning

Python

TensorFlow/Keras

Biomedical signal processing

EDF

Explainability

Human-in-the-Loop

Education

Bachelor's degree in Engineering

Job description

Organisation/Company University of A Coruña Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 9 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 17,5 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? European Union / Next Generation EU Reference Number 2026/CP/241 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Grant/funding reference: PID2023-147422OB-I00

Job title: Next-Generation Machine Learning Algorithms for the Analysis of Medical Sleep Recordings

Research line / Scientific-technical services: Does not apply

Grant/funding period: START: September 1st, 2024 END: December 31th, 2027

Centre of Principal Researcher: ICT Research Center (CITIC)

PURPOSE OF CONTRACT: Collaborator on activities related to the project/agreement stated.

JOB LOCATION AND SCHEDULE: CITIC building. Monday to Friday: 09:30 - 13:00 (17,5 h/week)

CALL SPECIFICATIONS

ACTIVITIES

WP2

• WP2 T.2.1. State-of-the‑art in attention mechanisms applied to sleep studies
• T.2.3. Design, implementation and evaluation of solutions based on self‑attention mechanisms
• T.2.4. Integration of event identification, temporal sequences and attention mechanisms

WP3

• T.3.1. Analysis of state‑of‑the‑art related to Human‑In‑The‑Loop techniques
• T.3.3. Active and Interactive learning

WP5

• WP5 T.5.1. Model‑specific explainability
• .5.2. Model‑agnostic explainability
• T.5.3. Human‑In‑The‑Loop explainability

We are seeking a profile related to the field of research and artificial intelligence applied to medicine, with prior knowledge and experience related to signal analysis and deep machine learning.

Requirements: Degree: Engineering, bachelor's degree or equivalent

Additional Information

Eligibility criteria

A. Academic record of credits passed in the required degrees with a minimum of 240 ECTS credits (max. 1.5 points). Grading will be based on a minimum grade of 5 out of 10 (pass) and proportionally up to 10 out of 10 (with honors) or equivalent.

Degrees in the field of Computer Science and Artificial Intelligence, will be considered related.

For other degrees, an additional weighting factor of 70% will be applied.

B. Academic record of credits passed in master's degrees in the field of Computer Science and Artificial Intelligence with a minimum of 60 ECTS credits (max. 1.5 points).

The minimum considered grade will be 5 out of 10 (pass) and proportionally up to 10 out of 10 (with honors) or equivalent. If all credits are not passed, a proportional weighting factor will be applied.

C. Demonstrable experience* in the scope of the tasks to be performed in the project (max. 4.5 points):

• - Knowledge of Deep Learning (max. 0.5 points)
• - Python programming language and environments (max. 0.5 points)
• - TensorFlow and/or Keras machine learning APIs (max. 0.5 points)
• - Biomedical signal processing (max. 0.75 points) - European Data Format (EDF) (max. 0.75 points) - Explainability of machine learning models (max. 0.75 points)
• - Human-in-the-Loop techniques (max. 0.75 points)

*Demonstrable experience is defined as experience that can be accredited, as appropriate, through courses (0.05 points for every 10 hours), participation in research projects or contracts with companies (0.2 points for each month full-time, proportional part for part-time), scientific and technical publications (0.5 for each JCR-indexed publication, 0.25 for each conference publication).

D. Personal interview, which will be conducted only with candidates who obtain a minimum overall score of 5 points in sections A-C (maximum 2.5 points).

Selection

A minimum score of 5 points will be required to be awarded the contract.

The position may be declared vacant if no candidate obtains a minimum overall score of more than 5 points.

The process will create a waiting list (reserves) of candidates who meet score at least 5 points among criteria A-C.

Selection process

APPLICATION PROCESS

WHERE TO APPLY: UDC online services site. Applications should be addressed to the Office of the Vice‑Rectorate for Research and Transference, and include the call reference.

DEADLINE: 5 working days from the day following the publication of the call on the official bulletin board of the UDC online services site.

SELECTION COMMITTEE AND PUBLICATION OF RESULTS

PLACE OF PUBLICATION OF RESULTS: Official bulletin board of the UDC online services site.

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 [e-mail] for instructions on how to apply to this call.

Work Location(s)

Number of offers available 1 Company/Institute CITIC - Research Center on Information and Communications Technologies Country Spain Geofield