Job
- Level
- Junior
- Job Field
- Software, Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Salary
- from 52.007 € Gross/Year
- Location
- St. Pölten
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
- You are conducting a dissertation in the field of computer vision with a focus on the analysis of art historical image and video collections.
- They conduct applied and basic research projects on computer vision, machine learning (ML) / deep learning in interdisciplinary problems of film studies and art history.
- As part of a team, you will develop methods for the automatic analysis and classification of images and videos as well as interactive visual interfaces for ML-supported searching and analysis of large multimedia databases.
- They write scientific publications, give presentations and support the preparation of research project proposals.
- You will participate to a limited extent in teaching (max. 6 SWS) and in the supervision of scientific theses and projects in teaching.
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Our expectations of you
Education
- Successfully completed Master's degree in Computer Science (or comparable studies such as Digital Humanities) which qualifies for PhD/doctoral studies.
Qualifications
- Solid programming skills (Python, OpenCV, deep learning libraries such as Tensorflow/PyTorch).
- Interest in issues of digital humanities.
- Excellent English skills / willingness to learn German (for applicants whose native language is not German).
- Curiosity, independent working style, team player.
- Independent working style, willingness to take on responsibility.
Experience
- Comprehensive fundamental knowledge and practical experience in automatic image analysis, machine learning, deep learning and content-based visual retrieval.
- Initial experience in participating in research projects is an advantage.
- Initial relevant professional and/or practical experience is an advantage.
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Benefits
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FH St. Pölten
With more than 3,700 students in six departments, St. Pölten University of Applied Sciences is a major player in the domestic higher education landscape and also one of the most important employers in the region.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System