Postdoctoral fellow (Research Associate) in Federated Learning and Analysis for Health Research
Université du Luxembourg
- Belval, Esch-sur-Alzette
- 83 099 €/an
- Contrat
- Temps-plein
- Develop federated analytical workflows: integrate and adapt federated learning workflows specifically designed for health research, emphasizing scalability, efficiency, and privacy
- Analyse diverse data sets with AI/ML: apply advanced AI/ML algorithms to a broad spectrum of health data, including clinical, molecular (-omics), and real-world data, in a federated context
- Generate and use synthetic data: create synthetic data using methods like GANs for use in federated analysis, ensuring the data is both realistic and privacy compliant
- Support the development of federated data management and analysis platform: actively engage and support the platform development team in implementing federated analytical workflows into the CLINNOVA platform
- Take an active role on project activities: take charge of specific project activities, working in close harmony with a multidisciplinary team to meet project goals effectively
- Disseminate research findings: actively share the ongoing work and findings with the project members, the scientific community and other stakeholders through project meetings, conferences and publications
- A PhD in computer science, information technology, computational biology, bioinformatics, or a related field, with keen interest in health research and related IT infrastructure
- Domain knowledge:
- Good understanding of statistical analysis principles and AI/ML techniques in both centralized and federated environments
- Hands-on experience in developing, deploying, and maintaining ML operations (MLOps) within IT infrastructure, including familiarity with virtualization and containerization technologies such as Docker and Kubernetes is considered advantageous
- Technical skills:
- Proficiency in Python programming language, including data manipulation libraries (e.g., Pandas), ML frameworks (e.g., scikit-learn), and visualization tools (e.g., Matplotlib, Seaborn)
- Familiarity with federated technologies, such as Flower, NVIDIA FLARE, is considered advantageous
- Additional skills:
- Good ability to manage tasks effectively to meet project deadlines and reporting
- Experience with authentication and authorization solutions (e.g., ELIXIR-AAI, OIDC, GA4GH), cloud-based AI/ML services, testing methodologies (unit, integration, e2e) is considered advantageous
- Excellent work environment with state-of-the-art infrastructure, laboratory and administrative support
- Truly connected. We work together with hospitals and research institutes on a national and international level as well as industrial partners. Connection between science and society is very important to us. From our school lab – the Scienteens Lab – to the different outreach activities and collaborative partnerships with patient associations, we love to listen to society’s needs and share our passion for science
- Be part of a multicultural team. At the LCSB we have more than 50 nationalities. Throughout the year, we organise team-building events, networking activities and more
- A detailed curriculum vitae (CV) including a list of publications and projects
- A cover letter describing experience and future interests
- Contact information and recommendation letters from at least three referees
- Contract type: Fixed Term Contract 36 Month (extension possible)
- Work hours: Full Time 40.0 Hours per Week
- Location: Belval
- Job reference: UOL06363
- Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
- A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …