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Kielce University of Technology is seeking an assistant lecturer for the Faculty of Electrical Engineering, Automatic Control and Computer Science. The role focuses on cybersecurity, IoT, ML, and Big Data analytics, with teaching responsibilities in cybersecurity, computer networks, and Big Data analytics.
The candidate is expected to contribute to research and teaching activities, and to collaborate with colleagues on projects and course development.
Organisation/Company Kielce University of Technology Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 30 Aug 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Offer Starting Date 15 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
The offer concerns employment as an assistant lecturer at the Faculty of Electrical Engineering, Automatic Control and Computer Science. The planned research areas include the following topics: cybersecurity, Internet of Things (IoT) technologies, machine learning, and Big Data analytics. The candidate should be prepared to teach courses in the fields of cybersecurity, computer networks, and Big Data analytics.
E-mail weaii@tu.kielce.pl
Research Field Computer science Education Level Master Degree or equivalent
Specific Requirements
Master's degree in Computer Science or Information and Communication Technologies is required
The candidate should have a good command of English and- in the case of foreigners- fluency in Polish.
Scientific publications, experience in designing telecommunication and computer networks, as well as well-established knowledge of cybersecurity, Internet of Things technologies, computer networking, and artificial intelligence, confirmed by relevant certifications, will be an advantage.
Languages ENGLISH Level Good
Languages POLISH Level Excellent
Selection process
Applicants are required to provide the documents listed below:
The documents shall be submitted by 30.08.2026 to Dean’s Office (room no. 18 building D) or sent to the following address:
The candidate selection process will be completed within three months of the date of this advertisement. All documents submitted for a job application will be returned to unsuccessful applicants.