Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Permanent employment
- Salary
- from 45.640 € Gross/Year
- Location
- St. Pölten
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative machine learning approaches for analyzing physiological data, create software in Python, and support research projects and teaching activities at the university.
Job Technologies
Your role in the team
- You contribute to basic and applied research projects in the fields of machine learning, computer vision and explainable AI.
- You develop and evaluate machine learning approaches for physiological or human-centered data, such as gait analysis, eye-tracking and EEG data.
- You develop software in Python using common machine learning frameworks (e.g., TensorFlow and PyTorch).
- You support the development of research prototypes and frontend applications for demonstrators.
- You contribute to publications and the dissemination of research results.
- To a limited extent, you are involved in teaching (max. 6 semester periods a week) as well as in supervising scientific theses and teaching projects.
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Our expectations of you
Education
- Completed Master's degree in Computer Science, Data Science, Artificial Intelligence, Media Technology, Software Engineering or a related technical field that qualifies you for admission to a PhD/doctoral programme.
Qualifications
- Advanced knowledge in the areas of explainable and interactive machine learning is an advantage.
- Strong interest in applied research and emerging technologies.
- Ability to work both independently and as part of a team.
- Analytical thinking and a structured working style.
Experience
- Initial research experience as an intern, teaching assistant or research assistant is desirable.
- Strong programming skills in Python and experience with frameworks such as TensorFlow/PyTorch.
- Experience with physiological or human-centered data, such as gait analysis, eye-tracking or EEG data, is an advantage.
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What we offer
- A long-term employment in a modern, flexible work environment at the University of Applied Sciences St. Pölten with various work opportunities (e.g., remote work, creative spaces, etc.) as well as numerous benefits and further trainings.
- More free time for our staff: additional special leave days from 24/12 to 31/12 as well as on Good Friday.
- Permanent contract in an innovative, open-minded, and internationally oriented environment.
- A gross annual salary that takes your qualifications into account: at least € 45,640 (based on 40 hours/week) with a flexitime option (no core hours) and compensatory time.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
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
Junior Researcher - Machine Learning & AI
- Salary
- from 45.640 € Gross/YearNet salary converted from the gross salary in the job ad.from 32.998 € net/Year
- Location
- St. Pölten
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
