Researcher in Computer and Applied Data Science

The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) has opened a full time (100%) position for a Researcher in Computer and Applied Data Science at the Department of Innovative Technologies (DTI) located in Lugano, within the Institute of Information Systems and Networking (ISIN). Contract start: 1st November 2025 or date to be agreed upon.

Scope and purpose of the position

The purpose of this position is to support research and development (R&D) activities aimed at advancing solutions based on data science technologies within the construction industry. The selected candidate will contribute to the design and implementation of data-driven solutions for automating complex tasks and improving decision-making processes. The role will involve close collaboration with interdisciplinary teams, including academic researchers, software engineers, and industry partners, to translate cutting-edge research into practical applications tailored to the specific needs of the construction sector.

Responsibilities and activities

The selected candidate will join research groups focused on the development of advanced software solutions with an emphasis on data science, machine learning, and cloud technologies for the construction sector. In particular:

• Conducts research and development activities in the field of artificial intelligence, with a particular focus on applying data science, machine learning, and deep learning techniques in real-world contexts.
• Collaborates with research, development, and engineering teams to design and implement intelligent systems capable of automating complex processes in the construction sector, using cloud-native architectures.
• Integrates machine learning models and technologies based on large language models (LLMs) into vertical applications, working closely with domain experts, software developers, and industrial partners.
• Collaborates with interdisciplinary teams to integrate NLP technologies into practical, domain-specific applications.
• Designs, develops, and optimizes machine learning pipelines and scalable AI services, leveraging modern orchestration, containerization, and cloud technologies (e.g., Kubernetes, Docker, AWS/GCP/Azure).

Requirements

The ideal candidate will meet the following essential requirements, with additional qualifications considered a plus.

• Master’s degree in computer science, Computer Engineering, Data Science, Artificial Intelligence, or related fields.
• Solid experience in developing machine learning and data science solutions, including practical knowledge of libraries such as PyTorch, TensorFlow, Scikit-learn, Pandas, etc.
• Basic knowledge of cloud architectures (e.g., AWS, GCP, Azure) and tools for containerization and orchestration such as Docker, Kubernetes, MLflow, and Kubeflow.
• Ability to design and implement data processing pipelines and ML models in production environments, using tools like Airflow, Prefect, Luigi, and TensorBoard for monitoring.
• Ability to work independently, results-oriented mindset, and capacity to meet deadlines.
• Excellent teamwork skills and ability to collaborate in multidisciplinary teams.

We offer

• Fixed-term employment contract, with the possibility of extension.
• Participation in cutting-edge research projects with national-level industrial partners.
• Attractive salary, in line with Swiss standards and the candidate’s experience.

Additional Information

For further information, please contact: Omran Ayoub and Daniele Puccinelli

Candidates must submit the following documents in English:

• Curriculum vitae
• Master’s degree and transcript of records, including grades obtained during the Bachelor’s and Master’s programs
• Motivation letter, including a brief description of previous research experience (1–2 pages)
• List of two or three references (including email addresses)

In addition to the documents to be sent at the time of online application, additional documentation (criminal record, copy of an identity document) may be requested later.

Applications will be considered only if submitted electronically by 30 September 2025, through the appropriate form. Applications that are incomplete, submitted to other addresses, or submitted beyond the deadline, will be not accepted.

Apply now