Research Collaborator 2026/Cp/241
University Of A Coruña
Organisation/Company University of A Coruña Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 9 Oct *********:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 17,5 Offer Starting Date 1 Nov **** Is the job funded through the EU Research Framework Programme? European Union / Next Generation EU Reference Number ****/CP/241 Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Grant/funding reference: PID***********OB-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, **** END: December 31th, ****
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:*******: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
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
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