Project Assistant (m/f/x) / PhD Student in Embedded Machine Learning

The Embedded Learning and Sensing Systems (ELSS) group at the Institute of Technical Informatics, Graz University of Technology is a leading team in the field of embedded machine learning, focusing on efficient deep learning, low-power sensing systems, sensor data processing and data efficiency. The offered PhD position will involve solving challenges related to training deep learning models on resource-constrained devices. The position includes funding for research materials, participation in international conferences, and opportunities for collaboration with partner institutions. Graz University of Technology also provides a comprehensive mentoring program for PhD students, in-house training, and extensive support for international researchers.

Your Responsibilities

The candidate will conduct scientific research in the field of Embedded Machine Learning. The research results are expected to be published at leading conferences and in high-impact journals, ultimately contributing to the completion of a dissertation. This position is part of the MSCA Doctoral Network "Embedded AI Systems and Applications".

• Perform research in the area of Embedded Machine Learning.
• Publish research findings in scientific papers and present them at conferences.
• Participate in project-related workshops, meetings, and events.
• Supervise Bachelor and Master theses.

Your Profile

Admission Requirements:

• Completed Master’s or Diploma degree in Computer Science, Information & Computer Engineering, or a closely related field.

Desired Qualifications:

• Strong knowledge of Machine Learning with a focus on resource efficiency and algorithms.
• Excellent programming skills and a solid background in mathematics.
• Initial experience with research (e.g., through a thesis, internships, or publications).
• Curious, highly motivated, and driven by a passion for scientific research.
• Ability to work both independently and as part of a collaborative team.
• Excellent written and spoken English communication skills.

We Offer

• Opportunity to develop your own research ideas within a dynamic and stimulating work environment.
• Participation in a structured doctoral program through the MSCA Doctoral Network.
• Access to cutting-edge research infrastructure and the latest technologies.
• International training and collaboration opportunities.
• A wide range of continuing education programs and flexible working hours.
• Comprehensive opportunities for professional and personal development.
• Award-winning support for family-friendly initiatives
• Subsidized public transportation and access to the university’s sports programs.

The position offers an annual gross salary of at least € 45,882.20 for a full-time role. Additional compensation may be provided based on qualifications and experience.

Graz University of Technology is committed to increasing the representation of women in academic and management roles. Qualified female candidates are explicitly encouraged to apply, with preference given to women when candidates are equally qualified.

Graz University of Technology actively promotes diversity and equal opportunity. Discrimination in personnel selection based on gender, ethnicity, religion, ideology, age, or sexual orientation is strictly prohibited. Applicants with disabilities and the relevant qualifications are strongly encouraged to apply.

How to apply

To apply for this position, please send your CV and a statement of interest as a single PDF to saukhnoSpam@tugraz.at.

For further inquiries, please contact Assoc. Prof. Dr. Olga Saukh at saukhnoSpam@tugraz.at.