Job Information
Organisation/Company: Military University of Technology - Wojskowa Akademia Techniczna
Department: Institute of Optoelectronics
Research Field: Engineering » Electronic engineering
Researcher Profile: Other Profession
Positions: Master Positions
Application Deadline: 23 Sep 2026 - 23:59 (Europe/Warsaw)
Country: Poland
Type of Contract: To be defined
Job Status: Full-time
Hours Per Week: 40
Offer Starting Date: 24 Aug 2026
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Reference Number: 68/NA/WAT/2026
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Description of the research area and expectations towards the Candidate
The position is associated with the development of an interdisciplinary research and teaching team in the field of image information engineering. The team's work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the integration of measurement systems and Internet of Things devices.
We are looking for a candidate holding a Master of Science in Engineering degree or equivalent, with an early-stage, documented record of publications and project experience. Practical experience in designing and building vision systems, implementing analytical components, and working with image data in research and application-oriented contexts is expected.
The successful candidate will participate in preparing image data for training AI models, assessing the quality and readiness of HD data, building data-processing pipelines, extracting motion features, developing baseline and temporal models, and integrating machine-learning components with analytical prototypes and software infrastructure. The work is expected to include, among others, biomedical, industrial, sports, diagnostic, and training applications.
An important part of the position will be shared responsibility for developing the vision systems and IoT laboratory and maintaining its operational readiness for teaching and research. This will include preparing workstations, demonstrators, and laboratory instructions, as well as supporting students during classes and project work.
Where to apply
E-mail: sekretariat.ioe@wat.edu.pl
Requirements
Research Field: Engineering » Electronic engineering
Education Level: Master Degree or equivalent
Skills/Qualifications
The position is associated with the development of an interdisciplinary research and teaching team in the field of image information engineering. The team's work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the integration of measurement systems and Internet of Things devices.
We are looking for a candidate holding a Master of Science in Engineering degree or equivalent, with an early-stage, documented record of publications and project experience. Practical experience in designing and building vision systems, implementing analytical components, and working with image data in research and application-oriented contexts is expected.
The successful candidate will participate in preparing image data for training AI models, assessing the quality and readiness of HD data, building data-processing pipelines, extracting motion features, developing baseline and temporal models, and integrating machine-learning components with analytical prototypes and software infrastructure. The work is expected to include, among others, biomedical, industrial, sports, diagnostic, and training applications.
An important part of the position will be shared responsibility for developing the vision systems and IoT laboratory and maintaining its operational readiness for teaching and research. This will include preparing workstations, demonstrators, and laboratory instructions, as well as supporting students during classes and project work.
Specific Requirements
The candidate should:
- meet the requirements specified in Article 113 of the Act of 20 July 2018 - Law on Higher Education and Science, as amended;
- hold a Master of Science in Engineering degree or equivalent in the field of engineering and technology, particularly in a degree programme related to automation, electronics, electrical engineering, space technologies, computer engineering, telecommunications, mechatronics, biomedical engineering, or a related field;
- demonstrate aptitude for research and teaching and readiness for further academic development, including the preparation of a doctoral dissertation;
- have an early-stage research record comprising at least three peer-reviewed scientific publications as an author or co-author, including at least one publication indexed in the Web of Science Core Collection or Scopus;
- have experience in teamwork confirmed by participation in at least two scientific or R&D projects, including at least one externally funded project;
- have experience in developing applications or components of vision systems, image processing and analysis, or computer vision, confirmed by a publication, participation in an R&D project, or a documented implementation;
- have experience working with image and video data covering at least selected aspects of data acquisition, quality control, dataset preparation, feature extraction, motion analysis, algorithm validation, or AI model integration;
- have practical programming skills in Python and knowledge of libraries used for data and image analysis, particularly OpenCV or equivalent tools;
- have basic knowledge of artificial intelligence and machine-learning methods used in the analysis of images and temporal sequences;
- have experience in IoT systems and in integrating sensors, measurement devices, or embedded systems with software, confirmed by a scientific publication, participation in a project, or a documented implementation;
- have experience in the field of digital twins, confirmed by a publication, participation in a project, or a documented implementation;
- demonstrate analytical thinking, the ability to document results and work independently, and the ability to collaborate within an interdisciplinary team;
- demonstrate command of the Polish language sufficient to conduct teaching activities and prepare documentation;
- demonstrate command of the English language at a minimum of B2 level, sufficient to use scientific literature and technical documentation, prepare publications, and communicate in international projects.
Languages
POLISH: Excellent
ENGLISH: Excellent
Additional Information
Benefits
- employment as an Assistant in the group of research and teaching staff, on a full-time basis, with the Military University of Technology as the primary place of employment;
- the opportunity for academic development and preparation of a doctoral dissertation in the field of vision systems, image analysis, AI, or IoT;
- participation in interdisciplinary research and R&D projects with publication and implementation potential;
- the opportunity to co-create a modern vision systems and IoT laboratory and develop one's own research specialisation;
- access to research infrastructure, specialised cameras, computing systems, and programming tools;
- support from the team in preparing publications, grant applications, demonstrators, and conference presentations;
- work in an environment combining research, teaching, engineering activities, and cooperation with external partners.
Eligibility criteria
- Application for employment addressed to the Rector-Commandant of the Military University of Technology.
- Personal questionnaire form.
- Academic curriculum vitae (CV).
- Information on research interests and research, teaching, project, and organisational achievements, including a list of publications and projects confirming fulfilment of the competition requirements.
- Copies of diplomas and other documents confirming the candidate's qualifications.
- A declaration of consent to the processing of personal data contained in the application in accordance with the Act of 10 May 2018 on the Protection of Personal Data.
- A declaration of full legal capacity.
- A declaration of no conviction by a final court judgment for an intentional offence.
- A declaration that the candidate has not received a disciplinary penalty depriving them of the right to practise the profession of an academic teacher permanently or for a fixed term.
- A declaration that the candidate enjoys full public rights.
- A declaration stating whether the Military University of Technology will be the primary or secondary place of employment.
Templates are available at: bip.wat.edu.pl/ogloszenia/praca/wzory-dokumentow-dla-kandydatow
Selection process
The competition is the first stage of the procedure for employing an academic teacher specified in the Statutes of the Military University of Technology, and a positive outcome constitutes the basis for further proceedings. The final decision on employing the person selected through the competition is made by the Rector.
Selected candidates may be invited to an interview, during which the committee may request a short presentation of the candidate's achievements and examples of vision systems, analytical components, IoT solutions, or demonstrators.
The University reserves the right to close the competition without selecting a candidate and without providing a reason. The University does not provide accommodation.
After completion of the recruitment process, applications that do not meet the formal requirements and all remaining applications, except that of the selected candidate, will be destroyed one month after the end of the competition procedure.
Additional comments
Documents must be submitted by: September 23, 2026
- in person: at the Secretariat of the Institute of Optoelectronics, ul. gen. Sylwestra Kaliskiego 2, building 136, room 114;
- by post: Military University of Technology, Institute of Optoelectronics, 00-908 Warsaw, ul. gen. Sylwestra Kaliskiego 2 - the date of receipt by the Military University of Technology shall be decisive;
- by email: sekretariat.ioe@wat.edu.pl
Files containing personal data and submitted by email must be password-protected. After submitting the documents, the candidate must contact the Secretariat by telephone and provide the password to the files.
Formal deficiencies that will result in rejection of the application: failure to provide the complete set of documents.
The application must include the reference number: 68/NA/WAT/2026
Further Information
Further information is available by telephone at (+48) 261 83 94 30 or by email at sekretariat.ioe@wat.edu.pl.
The competition will be resolved within two weeks of the application deadline.
Website for additional job details: https://bip.wat.edu.pl
Work Location(s)
Number of offers available: 1
Company/Institute: Military University of Technology
Country: Poland
State/Province: Warsaw
City: Warsaw
Postal Code: 00-908
Street: Gen. Sylwestra Kaliskiego 2
Contact
State/Province: Mazowieckie
City: Warsaw
Website: https://www.wojsko-polskie.pl/wat/
Street: Kaliskiego 2
Postal Code: 00-908
E-Mail: sekretariat.ioe@wat.edu.pl
Phone: (+48)261 83 94 30
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