Postdoctoral Researcher (m/f/d) in Computer Science or Mathematics, Group Leader Pock

Graz University of Technology; Österreich; Vor Ort; EUR 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Flexible hours

Career development

Public transport subsidy

Top research infrastructure

Diversity & inclusion

Zusammenfassung

Graz University of Technology in Austria seeks a Researcher Profile Recognised Researcher (R2) for the Institute of Visual Computing. The role focuses on advancing computer science research, with strong emphasis on publication track record and expertise in optimization, image processing, and deep learning.

The successful candidate will engage in cutting-edge machine learning research, contribute to MRI-related reconstruction work, and collaborate with the IV C team under Prof. Thomas Pock.

Qualifikationen

• PhD completed in Computer Science, Mathematics, Physics, or equivalent fields.
• Excellent publication record in leading journals and conferences.
• Experience with convex and nonsmooth optimization; accelerated gradient methods.

Aufgaben

• Publish in top journals and conferences.
• Apply advanced optimization and sampling methods.
• Develop image processing and medical image reconstruction techniques.
• Advance machine learning research, including deep learning.
• Collaborate within the Institute of Visual Computing group.
• Contribute to open research questions and dissemination of results.

Kenntnisse

Publication record

Optimization

MCMC sampling

Image processing

Machine learning

Python

Ausbildung

PhD in CS/Math/Physics

Tools

PyTorch

Jobbeschreibung

Organisation/Company Graz University of Technology Department Institute of Visual Computing Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 17 Oct 2026 - 23:00 (UTC) Country Austria Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 7100 / 2026 / 9779 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Your Responsibilities

• Excellent publication record in leading journals and conferences
• Experience in convex and nonsmooth optimization, e.g., accelerated gradient methods
• Experience with sampling algorithms, e.g., MCMC methods
• Experience in image processing and medical image reconstruction, e.g., MRI reconstruction
• Experience in machine learning, e.g., deep learning
• Programming experience in Python, e.g., PyTorch

Your Profile

Admission Requirements

Completed Phd in the field of Computer Science, Mathematics, Physics, or equivalent fields of study.

We Offer

• Interesting area of responsibility
• Collegial and friendly working atmosphere
• Flexible working schedule (e.g. possibility for home office, paid lunch break - depending on working hours)
• International training and teaching opportunities
• Seal of quality for in-house advancement of women
• Family-friendly employer
• Subsidy for public transport
• University’s sports program
• Shopping Discounts
• Workplace Health Management
• Top research infrastructure and access to the latest technologies
• Exciting opportunities for professional and personal development
• Safe and stable working environment
• Company pension funds

We offer an annual gross salary of at least € 70,200.20 for a fulltime position. An overpayment based on qualification and experience is possible.

Equality Principle

Graz University of Technology aims to increase the proportion of women, in particular in management and academic staff, and therefore qualified female applicants are explicitly encouraged to apply. Preference will be given to women if applicants are equally qualified.

Graz University of Technology actively promotes diversity and equal opportunities. Applicants are not to be discriminated against in personnel selection procedures on the grounds of gender, ethnicity, religion or ideology, age, sexual orientation (Anti-discrimination).

People with disabilities and who have the relevant qualifications are expressly invited to apply.

Organisational Unit

The position will be part of the Institute of Visual Computing (IVC) and attached to the group of Prof. Thomas Pock. The IVC is an internationally visible research environment with more than 70 researchers active in the fields of computer graphics, computer vision, image processing, visualization, virtual, mixed and augmented reality, and machine learning for visual computing.

About us

Graz University of Technology is the longest-established university of technology in Austria. Here, successful teams of students, talented up-and-coming scientists, ambitious researchers and a lively start-up scene enjoy an inspirational environment as well as access to top-quality equipment. And all this in one of the most innovative and livable regions in Europe. TU Graz offers an inspiring working environment with outstanding infrastructure and service-oriented university management.

In this video, we give you an insight into the working environment at TU Graz: HERE

Contact

For further questions please contact [e-mail] (no applications).

• Collegial and friendly working atmosphere
• Flexible working schedule (e.g. possibility for home office, paid lunch break - depending on working hours)
• International training and teaching opportunities
• Seal of quality for in-house advancement of women
• Family-friendly employer
• Subsidy for public transport
• University’s sports program
• Shopping Discounts
• Workplace Health Management
• Top research infrastructure and access to the latest technologies
• Exciting opportunities for professional and personal development