"PostDoc Researcher in Data Engineering e Data Science"

PostDoc Researcher in Data Engineering e Data Science

The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) invites applications for two PostDoc 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.

Requirements

• 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, TensorFlow, Scikit-learn, and specialized libraries like SHAP, LIME, Captum, Alibi, and TensorFlow 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.

We offer

• 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.

Application Process

Applications will only be considered if submitted electronically by February 22, 2026, through the dedicated application form. The following documents, written in English, must be included:

• Curriculum vitae with a list of publications and, if available, a link to the PhD thesis
• Copies of academic degrees (Bachelor’s, Master’s, and PhD, if available) and transcripts with grades
• List of two references (including email addresses)
• Motivation letter, including a brief description of previous research experience and future interests (1–2 pages)

For further information, please contact Dr. Michela Papandrea. Incomplete applications, those submitted to incorrect addresses, or those received after the deadline will not be considered. In addition to the required application documents, further documentation (such as a criminal record certificate or a copy of an identity document) may be requested at a later stage.

Job details

Title
PostDoc Researcher in Data Engineering e Data Science

Employer
University of Applied Sciences and Arts of Southern Switzerland - SUPSI

Location
Via Cantonale 2C Lugano, Switzerland

Published
2026-02-02

Application deadline
2026-02-22 23:59 (Europe/Zurich)
2026-02-22 23:59 (CET)

Job type
Postdoc

Field
Telecommunications Engineering, Artificial Intelligence, Computer Communications (Networks), Data Mining, Machine Learning,
Cyber Security,
Communication Engineering,
Programming Languages,
Data Structures,
Probability Theory