Offer Description
Would you like a job in which your talent really has an impact on your surroundings? The UOC is not simply a university: our institution is dynamic, determined and ambitious, and drives social and educational changes. Over 30 years ago, we made history as the world's first online university. Our goal is to generate, transfer and join together knowledge to build a more critical, responsible and non-conforming society.
We are seeking to recruit a junior researcher for the UOC-eHealth Center - Research Center for Human and Planetary Health, in the NeuroADaS Lab research group at the UOC.
The purpose of the project From Magnetic Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas - Gliogen X will be to develop a non-invasive virtual biopsy based on magnetic resonance imaging to molecularly classify gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine.
Responsibilities
- Design, deploy, and validate the federated learning infrastructure of the GLIOGEN-X project.
- Configure and coordinate the Fed-BioMed platform at participating centers.
- Ensure data security, privacy, and traceability in accordance with the GDPR and the EU AI Act.
- Integrate predictive virtual biopsy models in distributed environments.
- Lead pilot experiments and monitor the convergence of federated models.
- Compare the performance of federated models with local and centralized models.
- Contribute to technical documentation, deliverables, scientific publications, and coordination meetings with partners.
- Participate actively in securing new funding.
The contract will be fixed-term two-year full-time contract. The start date will be in January 2027.
Where to apply
Website: https://selection.uoc.edu/web/profile/login.aspx
Requirements
Research Field
Cultural studies
Education Level
PhD or equivalent
Specific Requirements
Candidate profile
- Education: PhD degree in biomedical engineering, computer science, artificial intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis.
- Experience: A minimum of one year of prior experience in biomedical research, neuroimaging, neuro-oncology, or AI applications in health, as well as demonstrable experience in scientific writing, technical report preparation, and project deliverable management.
- Knowledge: Solid understanding of the context of biomedical research and collaborative European projects, in addition to knowing the principles of security, privacy (GDPR and EU AI Act), ethics, and governance in digital health, while following good practices in reproducible research, documentation, and version control.
- Specific knowledge: Mastery of advanced scientific programming in Python and the use of frameworks such as PyTorch or TensorFlow. It is also necessary to have experience in federated learning and deep learning applied to medical imaging, as well as in the evaluation, validation, and monitoring of AI models in multicenter environments. Likewise, experience in processing and harmonizing magnetic resonance data (using tools such as NIfTI, DICOM, SimpleITK, MONAI, or nibabel), knowledge of Linux, Git, virtual environments and containers (Docker), and experience in training models on GPU in secure environments are required.
- Languages:
- Oral and written communication skills in both Catalan and Spanish.
- English language skills to at least CEFR level B2, or First Certificate equivalent, essential for working on an international project, writing technical documentation and scientific articles, and participating in meetings with partners.
- Soft skills: Ability to work effectively in international projects and multidisciplinary teams within the field of digital health.
Also of interest
- Prior experience in European or international research projects.
- Specific knowledge of neuroimaging, neuro-oncology, or neurological diseases.
- Experience with Fed-BioMed or other federated learning platforms.
- Knowledge of explainable AI (XAI), uncertainty estimation, and clinical validation of models.
- Prior scientific publications in AI, medical imaging, or digital health.
- Ability for autonomy, initiative, communication, and multidisciplinary teamwork.
- Knowledge of the Italian language (to facilitate the stay at Siena Imaging).
- Knowledge of the UOC's educational model.
Languages
ENGLISH — Level: Excellent
CATALAN — Level: Excellent
Research Field
Computer science
Years of Research Experience
1 - 4
Additional Information
Benefits
Reasons to choose the UOC
- Shared purpose: you'll be working for and championing access to quality higher education that enables people to transform their lives.
- Culture of values: we're driven by excellence, passion, non-conformity, kindness and commitment, but what makes us unique is the people who comprise the UOC. We value positive attitudes and teamwork, we care for talent, and we promote a working environment based on respect and relatability.
- Continual innovation: you'll be joining a university with an innovative, people-centred educational model, and a hub of impactful, interdisciplinary applied research.
- Real impact: you'll be part of a community that is driven by its mission, where it will be possible for your work to directly make a difference for society.
Benefits
- Friday afternoons off.
- Flexibility: our open working model combines remote working with work on-site, depending on organizational needs and the nature of the tasks involved.
- Each year you'll have 37 days of paid time off (24 days of vacation, 9 personal leave days and 4 UOC holidays). And you'll be able to work reduced summer hours (35 hours a week), subject to organizational requirements.
- You'll be provided with the computer equipment and ergonomic material you need to work both from home and on site at the UOC.
- Training: professional development training is provided regularly.
- Well-being: medical service, psychological help service, physiotherapy service, and health promotion activities.
Selection process
To take part in the selection process, you must register as a candidate in the Join our team section of our website (www.uoc.edu). Once you have registered, complete your profile in the candidate section in order to submit your application.
Additional comments
Our commitment to diversity
At the UOC, our differences make us stronger. We want recruit the best talent while guaranteeing equal opportunities, without discrimination relating to gender, age, ethnicity, sexual orientation or any other personal trait. Feel free to contact our recruitment staff for more information.
Our recruitment and selection processes are based on the principles of Open, Transparent and Merit-based Recruitment (OTM-R), and we have earned the Human Resources Strategy for Researchers (HRS4R) Excellence in Research award.
Funded by the European Union under the project with Grant Agreement Number 101307322.
Website for additional job details: https://selection.uoc.edu/web/offersjob/offerdetails.aspx?offerID=AFD6797C37224…
Work Location(s)
Number of offers available: 1
Company/Institute: Universitat Oberta de Catalunya
Country: Spain
State/Province: Barcelona
City: Barcelona
Postal Code: 08018
Street: Rambla del Poblenou, 156
Contact
State/Province: Barcelona
City: Barcelona
Website: https://www.uoc.edu/portal/en/uneix-equip/ofertes/index.html
Street: Rambla Poble Nou, 154-156
Postal Code: 08018
E-Mail: hrstrategy@uoc.edu
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