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
  • Il y a 29 jours
The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegeneration and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors.The LCSB recruits talented scientists from various disciplines. Computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary and together, we contribute to science and society.Successful candidates will join the Bioinformatics Core, led by Prof. Reinhard Schneider, which focuses on managing and analysing complex biomedical and clinical data. We are internationally recognized for our GDPR compliant data hosting solutions and data management systems. We develop innovative methodologies for data mining, federated data analysis, and data FAIRification. We strongly advocate following responsible and reproducible research (R3) principles and best practices in software development. For more information, .is integral part of the CLINNOVA project, an international initiative of leading clinicians and scientists from university hospitals, private clinics, and health research institutes across Luxembourg, France, Germany, and Switzerland. The project aims to revolutionize healthcare by harnessing the power of data federation, standardization, and interoperability to advance precision medicine for treatment decisions. To learn more about the CLINNOVA project and its objectives, visit:Your Role...As a Postdoctoral Researcher, you will develop and implement federated analytical workflows tailored for health research. You will apply AI/ML algorithms to analyse a diverse range of data types, including clinical, molecular (-omics), and (sensor/mobile and PROMs/PREMs) within a federated environment. Additionally, you will innovate state-of-the-art federated AI/ML methods, to ensure privacy and data security in clinical research. To augment federated analysis, you will be generating synthetic data using ML techniques, such as Generative Adversarial Networks (GANs). Your workflows and methods will be incorporated by a multidisciplinary team into the CLINNOVA platform for federated data management and analysis. You will take an active role on project activities and effectively disseminating findings to the project members and the scientific community through project meeting, conferences and publications. Your main tasks will include:
  • 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
What we expect from you…Required qualifications:
  • 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
Here’s what awaits you at the LCSB...
  • 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
How to apply...Applications (in English) should be submitted online and include:
  • 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
Early application is highly encouraged, as the applications will be processed upon reception. Applications by email will not be considered.The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.General information:
  • Contract type: Fixed Term Contract 36 Month (extension possible)
  • Work hours: Full Time 40.0 Hours per Week
  • Location: Belval
  • Job reference: UOL06363
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time)In return you will get…
  • 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 …
About the University of Luxembourg...University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and has more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.Further information:For further information, please contact Dr. Venkata SATAGOPAM (email address: ). Use the job reference number mentioned above in the subject line of your email.[

Université du Luxembourg