人工智能与网络物理系统方向博士职位

Project: Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective. MARIE Skłodowska-CURIE Actions – MSCA Doctoral Network Marie Skłodowska-Curie Actions – MSCA Doctoral Network Grant Agreement No. 101168344 Position: Doctoral Candidate – full-time, 12-month position Research Target: Trustworthy and Reliable AI for Cyber-physical Systems Deadline: 18 October 2026 Expected Start Date: 1 November 2026 How to Apply: tuai@polsl.pl (see more details for ”How to Apply Section”)

Host Institutions: Potential host institutions include:

Silesian University of Technology (SUT), Poland Western Norway University of Applied Sciences (HVL), Norway Norwegian University of Science and Technology (NTNU), Norway Universidad Politécnica de Madrid (UPM), Spain University of Oviedo (UNIOVI), Spain University of Naples Federico II (UNINA), Italy

The final host institution and supervisor will be determined following the joint recruitment and selection process, taking into account:

the candidate's scientific profile and research interests; the candidate's previous education and research experience; the alignment of the proposed research with the objectives and tasks of WP5; the available supervisory capacity within the consortium; the candidate's MSCA-DN mobility eligibility for the selected host country.

The selected candidate will therefore be matched with the TUAI partner offering the best scientific and supervisory fit..

Project Overview: The TUAI project aims to train the next generation of AI experts at the cutting edge of technology, addressing both advanced AI techniques and their application to real-world challenges. The project focuses on the development of trustworthy, transparent, open and explainable Artificial Intelligence methods and their application in complex and dynamic environments. The TUAI consortium brings together universities and research institutions from several European countries together with industrial partners, providing an interdisciplinary and international research and training environment. The selected Doctoral Candidate will contribute to the research and training activities of Work Package 5 (WP5), addressing research challenges related to Trustworthy and Reliable Cyber-physical Systems. Eligibility Criteria • Must NOT have lived or carried out your main activity (work, studies, etc.) in the country of the host institution for more than 12 months in the 3 yearsprior to the date of recruitment in accordance with the MSCA-DC program. • Have a Master’s degree in a relevant field (e.g. Artificial Intelligence, Computer Science, Data Science, Mathematics, Engineering or relateddisciplines). • Demonstrate scientific and technical knowledge as evidenced by publications (if applicable) or successful projects in line with the job description.- Familiar with the latest in AI trends and models for development and with experience applying these models to practical applications for real-world challenges. • Good programming skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to apply. • Understand ML/DL frameworks such as TensorFlow and PyTorch. • Familiar with version control systems such as Github, Git, etc. • TOEFL, IETLS or other certificates that can prove your English level.

Remuneration The successful candidate will receive remuneration in accordance with the MSCA Doctoral Network rules. The remuneration consists of a living allowance and a mobility allowance, with a family allowance where applicable. The living allowance is adjusted by the country correction coefficient applicable to the country of the final host institution . As the final host institution for DC14 will be determined through the joint TUAI recruitment and selection process, the applicable remuneration will be confirmed at the time of appointment. The final gross remuneration will therefore depend on the country of the selected host institution and the applicable MSCA correction coefficient, as well as the candidate's individual eligibility for the family allowance. Applicable deductions, including taxes and social security contributions, will be made in accordance with the legislation of the host country. Additional Benefits • International research collaboration and environment: Within the TUAI project, you can collaborate with many excellent researchers from differentcountries, nationalities and genders, which can help you advance your academic career. • Industry experience: You can participate in industry projects to carry out real-world applications in different fields and sectors. • Friendly research environments: You will enjoy research phenomena to collaborate with all the many friendly partners and supervisors. • Responsible supervisors: All supervisors are responsible for their supervised students and have strong motivation to work together on high-levelpublications.

How to Apply Interested applicants should prepare the following documents and send them directly to tuai@polsl.pl with the subject: “TUAI-last Name” (e.g. TUAIJordan). Please note that all documents should be in English only. 1. A detailed CV with contact information, photo, gender and nationality. Educational qualifications should also be included, starting with a Bachelor's degree. Relevant professional experience (e.g., internship, project). Programming skills (certifications are desired, if applicable) should be included. It is recommended to list your academic publications (if applicable) and patents (if applicable). The file format is: CV_LastName.pdf (e.g., CV_Jordan.pdf). 2. A motivation letter with maximum 1 page (e.g., movivation_Jordan.pdf) • Education certifications (Bachelor, Master) (e.g., education_Jordan.pdf) • Transcript with grades (Bachelor, Master) (e.g., transcript_Jordan.pdf) • 3 reference letters (reference_Jordan.pdf). One letter MUST be from the Master supervisor. • Master Thesis (if applicable) (thesis_Jordan.pdf) • English certificates (if applicable) or something relevant materials to proof language skills (language_Jordan.pdf)

The candidate will NOT be considered for the positions if any items 1-6 are missing. All files should be compressed as a zip file (TUAI-Jordan.zip). Candidates are responsible for ensuring that all information is true and correct, otherwise the position will be canceled if documents or information are not correct. Selection Process Applicants with strong and relevant experience in CV will be considered for the following two stages evaluations. The selection will be conducted through a transparent and merit-based joint TUAI recruitment process. Stage 1 – Eligibility and qualification screening: applications will be assessed against the formal MSCA-DN eligibility requirements and the scientific and technical requirements of the position. Stage 2 – Scientific evaluation and interview: shortlisted candidates will be invited to an online interview to discuss their academic background, research interests, motivation and potential contribution to WP5. Stage 3 – Candidate–host matching: the final host institution and supervisor will be determined based on the candidate's scientific profile and research interests, the alignment with WP5, and available supervisory capacity within the consortium. Application Conditions and Equal Opportunity The specified nationality and gender are used for statistical purposes and are not used as evaluation criteria for the positions. We ensure equal opportunities within our workforce. This information will be treated in strict confidence and will not be used in any discriminatory way. All applications are considered impartially and without discrimination on the basis of nationality, ethnicity, skin color, gender, sexual orientation, gender identity, marital status, religion, age or disability. Applications are reviewed on an ongoing basis until the position is filled. The selection process is carried out by an evaluation committee that follows guidelines designed to ensure equal opportunities for all applicants. The main criterion for selection is the match between the applicant’s qualifications and expertise and the specified requirements. Female applicants are particularly encouraged to apply, as gender balance is taken into account during the evaluation process to promote the representation of women in science and research. Informative clause Pursuant to Art. 13 of the Regulation on Personal Data Protection of 27 April 2016, please be informed: 1) the controller of your personal data is the Silesian University of Technology with its registered office at Akademicka 2A St, 44-100 Gliwice; 2) the Silesian University of Technology has appointed the Data Protection Officer who can be contacted via the email address: iod@polsl.pl; 3) personal data will be processed for the purpose of conducting the recruitment process for employment at the Silesian University of Technology; 4) the legal basis for processing personal data is Article 6(1)(c) of the GDPR (a legal obligation to which the controller is subject) in connection with Article 22 1 of the Labour Code and the Act of 20 July 2018 – Law on Higher Education and Science, as well as Article 6(1)(a) and Article 9(2)(a) of the GDPR (consent) in the case of personal data other than those indicated in Article 22 1 of the Labour Code; 5) personal data will not be disclosed to other entities, except in cases provided for by law. Personal data may also be transferred to partners providing technical and organizational IT support; 6) personal data will be stored for the period necessary to complete the recruitment process, or for up to 6 months after the conclusion of the recruitment process, if you have given consent for the processing of personal data for future recruitment processes; 7) you have the right to request the access to the content of your data and, to the extent provided for by applicable regulations, the right to: rectify, delete, limit processing, raise objections; if you consent to the processing of data, you have the right to withdraw your consent at any time; 8) you have the right to lodge a complaint with the President of the Office for Personal Data Protection, if you feel that the processing of your personal data violates the provisions of the General Data Protection Regulation; 9) providing data is voluntary, but necessary to achieve the purposes for which they are collected.

In accordance with the Act of 14 June 2024 on the Protection of Whistleblowers (Journal of Laws of 2024, item 928), we provide below a link to the Procedure for Receiving Internal Reports and Protecting Whistleblowers at the Silesian University of Technology. https://www.polsl.pl/uczelnia/sygnalisci/

Requirements / skills: • A strong academic background in Artificial Intelligence, Computer Science, Data Science, Mathematics, Engineering or a related discipline, with an interest in AI applied to complex and safety-critical systems. • Good knowledge of Machine Learning and Deep Learning methods, including experience with model development, training and evaluation. • Programming skills in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow or equivalent tools. • Knowledge or demonstrated interest in trustworthy, explainable and reliable AI, including aspects such as transparency, robustness, interpretability and resilience of AI-based systems. • Knowledge or demonstrated interest in anomaly detection, real-time data analysis and/or predictive modelling, particularly for dynamic and safety-critical environments. • Interest in AI sustainability, including resource efficiency, scalability, adaptability and the practical deployment of AI solutions. • Understanding or interest in cyber-physical systems, industrial systems, critical infrastructures or other safety-critical applications will be considered an advantage. • Knowledge or interest in AI security, adversarial robustness, fault tolerance or runtime verification will be considered an advantage. • Ability to analyse scientific literature, formulate research questions and conduct independent scientific research. • Ability to work in an interdisciplinary and international research team and collaborate with academic and industrial partners. • Good written and spoken English.

Requirements / specific requirements: Interested applicants should prepare the following documents and send them to tuai@polsl.pl with the subject: “TUAI DC14 – Last Name” (e.g., “TUAI DC14 – Jordan”). All documents must be submitted in English. • A detailed CV including contact information, nationality, educational qualifications (starting with a Bachelor's degree), relevant academic and/or professional experience, programming skills, publications (if applicable), and patents (if applicable). File format: CV_LastName.pdf (e.g., CV_Jordan.pdf). • A motivation letter , maximum 1 page. File format: Motivation_LastName.pdf . • Copies of educational certificates (Bachelor's and Master's degrees or equivalent). File format: Education_LastName.pdf . • Academic transcripts including grades for Bachelor's and Master's studies. File format: Transcript_LastName.pdf . • Three reference letters , including at least one letter from the Master's thesis supervisor . File format: References_LastName.pdf . • Master's thesis , if applicable. File format: Thesis_LastName.pdf . • Evidence of English language proficiency , if applicable, such as an English language certificate or other relevant documentation. File format: Language_LastName.pdf . • Mobility information for the previous 36 months , indicating the countries and periods of residence and/or main activity (e.g., employment, studies, research) Table Country | From | To | Residence and/or main activity | Institution/Employer This information is required to assess eligibility under the MSCA-DN mobility rule, as the final host institution for DC14 will be determined through the joint selection process. File format: Mobility_LastName.pdf . • Information on current doctoral studies , if applicable, including the doctoral programme, institution, research topic and supervisor. Current PhD students may apply provided that they do not hold a doctoral degree at the time of recruitment and their research can be aligned with the objectives of WP5. File format: PhD_Status_LastName.pdf .

The candidate will not be considered for the position if any of the mandatory documents listed above are missing. All documents should be combined into a single ZIP file named TUAI-DC14-LastName.zip . Candidates are responsible for ensuring that all information provided is complete, accurate and truthful. Incorrect or misleading information may result in exclusion from the recruitment process or cancellation of the appointment.

Additional information / comment: Application Conditions and Equal Opportunity The specified nationality and gender are used for statistical purposes and are not used as evaluation criteria for the positions. We ensure equal opportunities within our workforce. This information will be treated in strict confidence and will not be used in any discriminatory way. All applications are considered impartially and without discrimination on the basis of nationality, ethnicity, skin color, gender, sexual orientation, gender identity, marital status, religion, age or disability. Applications are reviewed on an ongoing basis until the position is filled. The selection process is carried out by an evaluation committee that follows guidelines designed to ensure equal opportunities for all applicants. The main criterion for selection is the match between the applicant’s qualifications and expertise and the specified requirements. Female applicants are particularly encouraged to apply, as gender balance is taken into account during the evaluation process to promote the representation of women in science and research.

Work location / nr job positions: 1

Work location / job organisation institute: Silesian University of Technology

Work location / job country: Poland

Work location / job state province: Gliwice

Work location / job city: Gliwice

Work location / job postal code: 44-100

Hiring contact / organisation institute: Silesian University of Technology

Hiring contact / organisation institute type: Higher Education Institute

Hiring contact / country: Poland

Hiring contact / city: Gliwice

Hiring contact / postal code: 44-100

Hiring contact / street: Akademicka 2A

Hiring contact / website: http://www.polsl.pl

Application / how to apply: e-mail

Application / application email: tuai@polsl.pl

EU funding / framework programme: Horizon Europe - MSCA

EU funding / cofund nr job position: 1

Research field / main research field: Technology

Research field / sub research field: Other

Research field / main research field: Computer science

Research field / sub research field: Other

Research field / main research field: Mathematics

Research field / main research field: Engineering

Researcher profile: First Stage Researcher (R1)

Positions: Master Positions

Contract: Temporary

Job status: Full-time

Application deadline (as exported; timezone unverified): 2026-10-18T21:59:59