Nasze wymagania

Completed second-cycle studies in Computer Science or a related field (preferred specializations in Artificial Intelligence).
Predispositions to scientific work documented by scientific achievements or design and implementation achievements from professional work.
Professional and/or scientific achievements in the field of computer science and intelligent systems, artificial intelligence, data analysis and machine learning methods - the project and/or publication portfolio is assessed.
Experience in research projects in the field of computer science and intelligent systems.
Knowledge of issues in the field of artificial intelligence and intelligent systems, data analysis and machine learning methods.
Programming experience in data analysis and programming of intelligent systems.
Experience in conducting teaching classes, in particular conducting design or laboratory exercises, is welcome.
Knowledge of English at least B-2 level is required, enabling the analysis and editing of scientific texts and conducting teaching classes.
Knowledge of the Polish language is required to the extent that allows: preparing teaching materials (instructions, scripts), creating project documentation and conducting teaching classes (laboratories, lectures); candidates
Predispositions and passion for scientific and teaching work.

Zakres obowiązków

application, CV, personal questionnaire,
copies of diplomas and other documents confirming qualifications,
an opinion confirming the candidate's predispositions for scientific and teaching work,
a document certifying knowledge of English at the level of at least B-2 within the meaning of the Common European Framework of Reference for Languages of the Council of Europe,
candidates who are not Polish citizens - a document confirming knowledge of the Polish language at least at the C-1 level.

Complete documentation can be sent to the following email address: Faculty of Electrical Engineering, Automatics, Computer Science, and Biomedical Engineering Secretariat of the Department of Applied Computer Science (30-059 Kraków, al. Mickiewicza 30, building C2 room 406).