Computer Science
Work description
Understanding of the cyber-physical system and its application in the intended context. Identification of data sources in lab conditions. Identification of challenges and opportunities for machine learning approaches to improve the process. Surveying the state of the art for the identified area. Implementation of the solution. Evaluation. Writing up (papers and final thesis).
Academic Qualifications
Strong background in Computer Science, Data Science, Artificial Intelligence or related field. Currently enrolled in a PhD programme in Computer Science or similar field.
Minimum profile required
Knowledge of mathematics, machine learning, proficiency in programming languages including Python, C/C++. Experience with machine learning. Excellent academic background.
Preference factors
Solid foundations in mathematics and computing. Research experience and publications in federated learning and attacks in this context. Already enrolled in a PhD programme.
Application Period
Since 20 Nov 2025 to 04 Dec 2025
Centre
Artificial Intelligence and Decision Support