Research collaborator 2026/CP/250

University of A Coruña; España; On-site; EUR 30,000 - 40,000; Full time

Job summary

University of A Coruña invites applications for the UDC-Inditex Chair of Artificial Intelligence in Green Algorithms. This six-month research collaborator position focuses on developing energy-efficient AI algorithms and HPC-based optimisations within the CITIC framework, with a tight assessment of merits across technical and communication criteria.

Candidates must hold a Bachelor’s in Computer Engineering and a Master’s degree or equivalent.

Qualifications

• A. Knowledge of Matlab, Python, R and/or C++ at an advanced level.
• B. Proficient English, spoken and written.
• C. Demonstrated publications in AI and green algorithms.
• D. Training hours and project work related to AI/green algorithms with affinity adjustments.
• E. Personal interview as part of the assessment.

Responsibilities

• The candidate will contribute to the UDC-Inditex Chair in AI for Green Algorithms.
• Work on sub-areas: low-resolution algorithms, HPC model optimization, edge/quantum computing, energy-efficient structures, PLN optimization.

Skills

Matlab

Python

R

C++

English proficiency

Publications in AI and greenAlgorithms

AI/green algorithms

Interview assessment

Education

Bachelor's degree in Computer Engineering

Master's degree or equivalent

Job description

Organisation/Company University of A Coruña Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 2 Nov 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? European Union / Next Generation EU Reference Number 2026/CP/250 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Grant/funding reference: TSI-100925-2023-1 Component 16 of the Recovery, Transformation and Resilience Plan. National Strategy for Artificial Intelligence. ENIA's strategic axis 2 of action "Promoting the development of digital skills, enhancing national talent and attracting global talent". Measure 9 "Promote a greater training posture in Vocational and University Training oriented to AI". BDNS: 653587.

Job title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms

Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period:

START: 01/05/2024 END: 30/06/2027 Centre of Principal Researcher: CITIC

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

JOB LOCATION AND SCHEDULE: CITIC. Monday to Friday, from 9:00 a.m. to 2:00 p.m. and from 3:00 p.m to 5:00 p.m. (35 h/week)

Project details Title: UDC-Inditex Chair in Artificial Intelligence in Green Algorithms Reference: TSI-100925-2023-1

The purpose of this contract is to collaborate in the research to be carried out within the framework of the abovementioned project. The aim of this research is to develop new artificial intelligence algorithms that require minimal computational resources. The successful candidate will focus their work on one or more of the following sub-areas: low-resolution algorithms, model optimisation using HPC techniques, edge computing, quantum computing, energy-efficient compact data structures, and PLN optimisation.

Justification of duration

A contract duration of 6 months is proposed, until the end of the project, which is considered sufficient to complete the project's research tasks.

Candidates must have a Bachelor's degree in Computer Engineering or equivalent and hold an official Master's degree or equivalent, in accordance with level 3 of the Spanish Qualifications Framework for Higher Education (MECES).

Additional Information

Eligibility criteria

Criteria and assessment of merits

The following merits will be assessed and scored:

A. Knowledge of Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0,5 points for every 10 hours of training course, up to 5 points per course) and accredited project work months (2 points for each month of work). Maximum 20 points.

B. Knowledge of spoken and written English (demonstrable). 2 points per level from A2 to C2. Maximum 10 points.

C. Demonstrable experience through scientific publications in the field of artificial intelligence and green algorithms. Each publication will be awarded up to 3 points if it corresponds to a scientific journal indexed in JCR and up to 1.5 points if it corresponds to a relevant international conference. Publications in Class 1 GGS conferences will be equivalent to JCR Q1 and Q2 journals. Maximum 20 points.

D. Knowledge of artificial intelligence and green algorithms. This will be assessed based on accredited training hours (1 point for every 10 hours of training course, maximum 30 points) and accredited project work months (4 points for each month of work, maximum 40 points) according to degree of affinity. Maximum 40 points. a. Training courses: 1 point for every 10 hours of training course.

b. Project work: 4 points for each month of work.

c. Correction factor by degree of affinity for sections D.a. and D.b.: i. Directly related to artificial intelligence and green algorithms: x1 ii. Marginally related to artificial intelligence and green algorithms: x0.3 iii. Unrelated to artificial intelligence and green algorithms: x0

E. Personal interview. Maximum 10 points. Personal interview with the three highest-rated candidates, provided that their score in the other sections is less than 15% of the candidate with the highest score. In the event of a tie in the final score between two or more candidates, the tiebreaker criterion will be the highest score obtained in the criterion D.

Documentation to be submitted

Interested parties must submit an application clearly detailing their merits in different sections, following the same format and concepts indicated in the assessment criteria. CVs submitted in a format other than that specified here will not be assessed by the evaluation committee.

Depending on the fulfilment of the requirements and the assessment of merits, an order of priority will be established for the candidates. The person with the highest score will be awarded the contract.

The person with the highest score will be awarded the position. With the remaining applicants, and respecting this order of priority according to merits, a waiting list will be created exclusively for this position, which will be used for recruitment in the event of resignation, dismissal or temporary incapacity of the selected person.

The minimum score to be included on the waiting list will be 45 points (excluding the score obtained in the interview)

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

Work Location(s)

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