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

Parution
Délai
Lieu de travailLugano, Via Giuseppe Buffi 13, Tessin, Suisse
Catégorie
Fonction
Durée3 years
Taux d'occupation
100%

The People-Centered Computing Lab in the Faculty of Informatics at the Università 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 Università 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 .

Description

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.

Exigences

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.

Nous offrons

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 et adresse

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)

Courriel

Tél.

+41767471020

Web

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