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PostDoc Researcher in Data Engineering e Data Science
Job in
6900, Lugano, Ticino, Switzerland
Listed on 2026-02-14
Listing for:
University of Applied Sciences and Arts of Southern Switzerland - SUPSI
Full Time
position Listed on 2026-02-14
Job specializations:
-
IT/Tech
Data Scientist, AI Engineer -
Research/Development
Data Scientist
Job Description & How to Apply Below
Post Doc Researcher in Data Engineering e Data Science
The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) invites applications for two Post Doc Researcher in Data Engineering e Data Science, within the Department of Innovative Technologies (DTI), located in Lugano. The degree of employment is 100%, with a contract starting on 1st April 2026, or on a mutually agreed date.
Responsibilities and activities- Conduct research on data-driven and AI-based network automation for next-generation communication infrastructures.
- Design, implement, and evaluate advanced ML/AI solutions, with a focus on trustworthiness, interpretability, security, and energy efficiency for network monitoring, control, and orchestration.
- Contribute to the definition of research methodologies and the development of prototypes and tools to validate proposed solutions.
- Write and publish scientific papers, articles, and project deliverables in collaboration with the research team.
- Co-advise PhD students within the group and support their scientific and professional development.
- Collaborate actively with academic and industrial partners within national and international research projects.
- Contribute to the preparation of project proposals for competitive funding schemes.
- PhD in Telecommunications, Computer Science, Data Science, Machine Learning, or a related field.
- Strong publication record in high-impact international journals and conferences in the fields of communication networks, machine learning, or artificial intelligence.
- Extensive experience with advanced machine learning and AI libraries and frameworks, with particular expertise in deep learning, model interpretability, explainability, and uncertainty quantification, using tools such as PyTorch, Tensor Flow, Scikit-learn, and specialized libraries like SHAP, LIME, Captum, Alibi, and Tensor Flow Probability.
- Ability to work independently and manage activities efficiently to meet project deadlines.
- Proven ability to conduct independent research and collaborate effectively within a team.
- Ability to co-supervise PhD students, support their research progress, and contribute to their scientific development.
- Fixed-term employment contract with the possibility of extension.
- Participation in cutting-edge research projects with national and international partners.
- Hybrid position combining research and advanced technological development activities.
- Opportunities to attend high-profile conferences.
- International working environment.
- Attractive compensation, in line with Swiss standards and the selected candidate’s experience.
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