진학프로석·박사 채용 접수 플랫폼

Research Topic: research on methods, technologies, and practices for modern deep learning for remote sensing, vision-language technologies and autoresearch. 

Planned Fellowship Supervisor: Assoc. Prof. Dr. Valentas Gružauskas.

The candidate will be a part of a multidisciplinary and collaborative team that can engage with international partners. 

Prospective candidates interested in collaborating with Assoc. Prof. Valentas Gružauskas and Assoc. Prof. Linas Petkevičius in their research group will be hosted at the AI Methods Lab of the Institute of Computer Science, Faculty of Mathematics and Informatics, and can expect to work on remote sensing focused on using new fundamental vision and language models. Research on multi-task prediction models for satellite imagery covers both fundamental research and addressing practical applications. 

Assoc. Prof. Dr. Valentas Gružauskas works at the intersection of AI and computational modelling, with a focus on agent-based modelling, socio-economic simulation, and modern AI methods (incl. LLM-driven agentic workflows) for decision support in complex systems. He has extensive teaching and supervision experience in AI-related topics and supervises technical projects involving LLM agents, evaluation and controllability. His research emphasises reproducible computational experiments, sensitivity/uncertainty analysis, and methodological rigour when linking empirical evidence to simulation. The MSCA PF will be guided in a highly technical manner while jointly developing domain understanding with ageing/long-term care partners.

Profiles: Linas Petkevičius Institute profile 

Assoc. Prof. Linas Petkevičius has a master's degree in statistics and PhD in computer science (2020, Vilnius University) with competencies in both informatics and statistics. After his doctorate studies, Dr. Petkevičius works with machine learning. He is the co-author of 13 articles published in scientific journals with a citation index (IF) in the Web of Science (WoS) database. Previously he was an expert at the Agency for Science and the Austrian Science Foundation (FWF), a board member of the European AI Forum and a member of the editorial board of the journal Nonlinear Analysis: Modeling and Control (Q1). From 2026 he is the Head of Institute of Computer Science at the Faculty of Mathematics and Informatics. Dr. Petkevičius is teaching the Deep learning and introduction to Quantum computing courses. Currently, he is the team lead of national research project: ""New generation multi-task recognition from satellite image algorithms for climate monitoring"" (NEUTRINO).