Technician Research Data Engineer – Aimix

buscojobs España; Burgos; Presencial; EUR 30.000 - 60.000; Jornada completa

Descripción de la vacante

An innovative research team is seeking a passionate Data Engineer to contribute to groundbreaking AI solutions in healthcare. This role offers the opportunity to work on the AIMIX Project, focusing on fairness in AI for medical imaging. Join a dynamic and multicultural environment at a prestigious university, where you will collaborate with experts and have the chance to travel for scientific events. If you are eager to make a difference in maternal health through technology, this position is perfect for you!

Servicios

Flexible working hours

International research environment

Travel opportunities

Research experience in a prestigious university

Formación

• Master's degree in relevant fields required.
• Experience in AI and machine learning applied to medical imaging.

Responsabilidades

• Develop AI algorithms for medical images and health data.
• Implement AI models ensuring fairness and inclusivity.

Conocimientos

Python

C++

AI and Machine Learning

Fairness in AI

Communication Skills

Educación

Master’s degree in Computer Science

Master’s degree in Data Science

Master’s degree in Machine Learning

Descripción del empleo

Research Field : Computer Science Engineering

Researcher Profile : First Stage Researcher (R1)

Positions : Master Positions

Country : Spain

Application Deadline : 3 Apr 2025 - 23 : 59 (Europe / Madrid)

Type of Contract : Temporary

Job Status : Full-time

Offer Starting Date : 1 Jul 2025

Is the job funded through the EU Research Framework Programme? Horizon Europe

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

Offer Description

We are seeking a highly motivated Data Engineer with expertise in fairness in AI to join our team at the Artificial Intelligence in Medicine lab within the University of Barcelona. The selected candidate will join the AIMIX Project, an international EU-funded initiative focused on developing an inclusive AI framework that will leverage and combine existing high-quality ultrasound clinical samples that can be obtained from standard ultrasound machines, with new low-cost ultrasound datasets that can be affordably used in resource-limited healthcare centres.

We offer :

• A dynamic position in beautiful Barcelona and its Mediterranean climate.
• Research experience within a prestigious university (1st position in Spain).
• Cutting-edge research in AI for healthcare in one of the most dynamic research groups in Europe (10 active projects including an ERC grant).
• An international research environment with a multi-cultural team representing all continents.
• Opportunities to collaborate with international and interdisciplinary collaborators as part of the European projects.
• Travelling opportunities to scientific events, project meetings and international stays.
• Flexible working hours, with the possibility to telework.

The requirements for the position are :

• Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Experience in AI and machine learning applied to medical imaging.
• Strong expertise in fairness in AI, bias mitigation, and algorithmic transparency.
• Proficiency in Python and / or C++ for AI development and data analysis.
• Good communication skills and ability to work in an interdisciplinary research environment.
• Enthusiasm about research and medical applications of AI.
• Aptitude to work independently and meet deadlines.
• Good team spirit and participation in the lab’s scientific life.

Key responsibilities :

• Development of artificial intelligence algorithms applied to medical images and other health data.
• Develop and implement AI models for antenatal screening, ensuring fairness and inclusivity.
• Research and apply bias mitigation techniques to ensure equitable AI decision-making in medical imaging applications.
• Integrate adaptive learning methods to train AI models on heterogeneous datasets.

Work with interdisciplinary teams, including medical professionals, AI researchers, and policymakers, to align AI solutions with real-world needs.

The research projects :

You will join our AI for maternal health team, as part of the ongoing project AIMIX, funded by the European Commission. In the AIMIX project we will develop an inclusive AI framework that will leverage and combine existing high-quality ultrasound clinical samples that can be obtained from standard ultrasound machines, with new low-cost ultrasound datasets that can be affordably used in resource-limited healthcare centres. To this end, the project will generate the first scan-rescan, multi-centre and multi-device database for building deep neural networks from both high-end and low-cost ultrasound images.

The Group :

The successful candidate will join the Artificial Intelligence in Medicine Lab, which is an integral part of the University of Barcelona’s Faculty of Mathematics and Computer Science. It is a young and dynamic research lab, highly active in international projects, and composed of over 20 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine / deep learning, biomedical informatics, biomedical ethics, and health-related applications. The research team has an established track record in coordination and participation in national, European, and international projects in biomedical data science and medical AI (e.g. EuCanImage, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AIMIX, AI4HF).

The Institution :

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs, and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2018, ARWU / Shanghai Ranking 2018). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU).

Eligibility criteria :

The selection is made through the evaluation of the curriculum, with an overall score of zero (0) to ten (10) points. The minimum score is five (5) points. The evaluation criteria are the following :

• Suitability of the candidate to the main function to be carried out
• Curricular experience
• Professional knowledge and skills

The tribunal, in its constitutive session, assesses the CVs of the candidates presented.

Selection process :

A resolution of adjudication is issued to the person who, having passed the selection procedure, obtains the highest score and publishes the prioritized list of applicants who have passed the selection process, indicating the scores obtained, for subsequent recruitment, if necessary.

Additional comments :

The candidate proposed for hiring must accept the job offer within 5 working days from the date of notification of the selection.

Priority will be given to people with disabilities (Law 89 / 2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).

Be aware that the starting date set in this offer is an estimate date. The official starting date will depend on the bureaucratic time that will take the preparation of the labour contract and presentation of the necessary documents to be hired by the selected candidate.