Silesian University of Technology
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PhD Position in Trustworthy, Transparent and Explainable Artificial Intelligence for Cyber-Physical Systems Silesian University of Technology in Poland
Degree Level
PhD
Field of study
Computer Science
Funding
MSCA Doctoral Network funded position with remuneration according to MSCA rules. Funding includes a living allowance and mobility allowance, with a family allowance where applicable. The exact gross amount depends on the final host country and applicable country correction coefficient, and deductions will follow host-country law.
Deadline
Oct 18, 2026
Country
Poland
University
Silesian University of Technology

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About this position
PhD position in Trustworthy, Transparent and Explainable Artificial Intelligence at Silesian University of Technology (Poland) within the TUAI project, a Marie Skłodowska-Curie Actions Doctoral Network funded under Horizon Europe.
The project topic is “Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective”, with the selected doctoral candidate contributing to Work Package 5 on Trustworthy and Reliable AI for Cyber-physical Systems. The post is a full-time, 12-month doctoral candidate position, with the final host institution and supervisor to be matched through the consortium recruitment process.
Relevant study areas include Artificial Intelligence, Computer Science, Mathematics, Engineering, Machine Learning, Deep Learning, Explainable AI, Trustworthy AI, and Cyber-physical Systems. The consortium includes universities in Poland, Norway, Spain, and Italy, offering an international research and training environment with academic and industrial collaboration.
Eligibility highlights: applicants must hold a relevant Master’s degree; have strong AI/ML and programming skills; Python is mandatory; familiarity with TensorFlow, PyTorch, and Git/GitHub is expected; and good English is required. The post also states MSCA mobility eligibility rules and asks for evidence of English proficiency. Interest in robust, explainable, secure, or real-time AI for safety-critical systems is an advantage.
Funding: MSCA living allowance, mobility allowance, and family allowance where applicable. The exact amount depends on the final host country and MSCA correction coefficient.
Application deadline: 18 October 2026. Applications are reviewed on an ongoing basis until the position is filled.
How to apply: email the requested documents to [email protected] and submit them in English only. The required package includes CV, motivation letter, degree certificates, transcripts, three reference letters, thesis if applicable, English proof, mobility information, and PhD status information if relevant.
Funding details
MSCA Doctoral Network funded position with remuneration according to MSCA rules. Funding includes a living allowance and mobility allowance, with a family allowance where applicable. The exact gross amount depends on the final host country and applicable country correction coefficient, and deductions will follow host-country law.
What's required
Applicants must have a Master’s degree in a relevant field such as Artificial Intelligence, Computer Science, Data Science, Mathematics, Engineering or related disciplines. They should have strong scientific and technical knowledge, preferably evidenced by publications or successful projects, familiarity with current AI trends and practical model development, good programming skills with Python mandatory, and knowledge of ML/DL frameworks such as TensorFlow and PyTorch. Experience with version control systems like GitHub/Git is expected, and good written and spoken English is required. Interest or experience in trustworthy, explainable, reliable, robust, and secure AI, anomaly detection, real-time data analysis, predictive modelling, cyber-physical or safety-critical systems is advantageous. MSCA mobility eligibility applies: candidates must not have lived or carried out their main activity in the host country for more than 12 months in the 3 years before recruitment.
How to apply
Email the required application documents to [email protected] with the subject line specified in the post (e.g. TUAI-Last Name or TUAI DC14 – Last Name). Combine all mandatory documents into a single ZIP file and submit everything in English. Ensure the CV, motivation letter, certificates, transcripts, reference letters, thesis if applicable, English proof, mobility information, and PhD status information are included.
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