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Postdoc position – Explainable AI and Federated ML in Healthcare – Lugano, Switzerland

Closing Date
WorkplaceLugano, Via Giuseppe Buffi 13, Ticino, Switzerland
Duration3 years
Occupation rate

The People-Centered Computing Lab in the Faculty of Informatics at the UniversitÓ della Svizzera italiana (USI) in Lugano, Switzerland is looking for a postdoctoral researcher (PostDoc) in machine learning (ML) and explainable AI (XAI) applied to healthcare.

The Faculty of Informatics at the UniversitÓ della Svizzera italiana (USI) is one of the largest research centers for Computer Science in Switzerland. Its vanguard educational model and passion for scientific research make it an ideal place to start an academic career, as it provides PostDocs with the ability to participate both in cutting-edge research and teaching . Around 200 researchers from around the world conduct research in key Computer Science areas such as AI and Systems on the newly inaugurated Campus EST in the heart of Lugano .


The position is funded by an EU (HORIZON) project featuring 13 project partners from 8 EU countries, including research institutions, medical centers, and companies. USI’s role will be the development of trustworthy, AI-based decision-support tools that will help health professionals and citizens reduce long-term risk of non-communicable chronic diseases (NCDs).

More specifically, the project envisions the usage of federated learning to ensure data privacy and the usage of XAI techniques including actionable counterfactual explanations in a privacy-aware manner using federated learning approaches.


Candidates should possess the following:

  • PhD (or near completion) in computer science or a related field with a focus on ML.
  • Demonstrated quality of research performance, as evidenced by high-quality publications in top-tier ML / AI conferences and journals (e.g., ICML, NeurIPS, IJCAI, AAAI, Information Fusion, IMWUT, JMLR).
  • Strong programming skills, including experience with Python and deep learning libraries (e.g., PyTorch, TensorFlow, and Sklearn).
  • Strong command of English, both orally and in writing
  • Previous research on XAI and/or privacy-aware ML (e.g., federated learning) a plus.

We offer

The position is full-time and comes with a competitive salary and social security insurances: in accordance with Swiss regulations and based on prior experience, PostDoc salaries range from CHF 80’000 (gross) to 105’000 (gross) per year.

Contact and Address

Applications should be sent to marc.langheinrichusi.ch and martin.gjoreskiusi.ch using the subject line “PostDoc application” and should include the following:
  • CV with contact information for at least two references
  • Transcript of records for MSc and BSc studies (PhD studies if applicable)
  • 1-page statement of purpose (research interests & why you think you are a good fit)





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In your application, please refer to myScience.ch and reference JobID 59718.