Job Information
- Organisation/Company: Graz University of Technology
- Department: Faculty of Computer Science and Biomedical Engineering
- Research Field: Computer science, Neurosciences, Engineering
- Researcher Profile: Established Researcher (R3)
- Application Deadline: 20 Nov 2026 - 23:00 (UTC)
- Country: Austria
- Type of Contract: Permanent
- Job Status: Full-time
- Offer Starting Date: 1 Oct 2027
- Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
- Reference Number: 7000 / 2026 / 9273
- Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Scientific Profile
The Department of Computer Science and Biomedical Engineering at Graz University of Technology is an internationally highly ranked department committed to excellence in research and teaching. The research at the department covers a broad spectrum of topics that are reflected in our main research areas Biomedical Engineering, Safety and Security, Artificial Intelligence, and Visual Computing. We are proud of our outstanding basic and applied research and encourage interdisciplinary projects. Moreover, our department fosters a close dialogue with industry and encourages and supports the creation of spin-off companies.
Job Description
We are looking for a highly qualified and scientifically proven figure who will represent the field of Biomedical Engineering in research and teaching in an interdisciplinary manner and whose research makes significant contributions to the further development of active implantable medical devices. The focus is on systems that sense, process, and actively modulate physiological functions.
In teaching, the professorship will contribute to Bachelor's and PhD-level education in the Biomedical Engineering study program, and to Master's-level studies in Biomedical Engineering, Computer Science and Information & Computer Engineering and be an engaged mentor for our students. At the Department of Computer Science and Biomedical Engineering, undergraduate courses are taught in German or English, graduate courses are taught in English. In addition, this person will actively participate in academic self-administration.
The professorship should focus on one or several of the following or related research areas:
- open-loop or closed-loop active neural interfaces (neuroprosthetics, bioelectronic medicine, sensors)
- cardiovascular and electrophysiology implants (e.g. vagus sensing and stimulation, hemodynamic monitoring)
- smart orthopedic and musculoskeletal implants
- next-generation implants for endocrine, gastrointestinal, urological regulation
- implantable drug delivery systems
In particular, the professorship is intended to strengthen the existing interuniversity cooperation BioTechMed Graz - a joint initiative between the Medical University of Graz, the University of Graz and Graz University of Technology - and to support it with broad applied experience.
Employment Requirements
- A completed doctoral degree (PhD) in a relevant field.
- A relevant habilitation (venia docendi) or an equivalent qualification.
- Excellent scientific achievements in areas listed above.
- Excellent didactic and pedagogical skills.
- Experience in management and leadership of multi-person research projects.
Selection Criteria
- Experience in the competitive acquisition and management of third-party funded projects.
- Willingness for cooperation within and outside the university.
- Competences in gender, diversity, and the inclusion of persons with disabilities.
Application Documents
Applicants are asked to send their detailed documents in English. The following information is required:
- a CV (with copies of diplomas);
- a list of publications highlighting the 5 most important publications;
- a research statement describing past and planned research activities (5 pages max.);
- a teaching statement (5 pages max.) and evaluations of past teaching activities (if available);
- a diversity statement (1 page max.) describing past and planned activities;
- names and contact information of two references.
Centre Of Vital Interest
Relocation of the future professor to the greater Graz area (main residence) is required.
Language Skills
Applicants should have a strong command of the English language, both written and spoken, to be able to effectively represent the field internationally, and they must also be willing to learn German if they do not already know the language.
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. In case of under-representation, 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 in personnel selection procedures on the grounds of gender, ethnicity, religion and ideology, age, sexual orientation (anti-discrimination).
People with disabilities, and who have the relevant qualification, are expressly invited to apply.
Hearing Dates
The hearings for the professorship will take place in the week of 22nd February 2027. Candidates should be available for interviews in this period.
Contact
Please adress your application to the dean of the department of Computer Science and Biomedical Engineering
More on: https://csbme.tugraz.at/go/applications/activeimplants
For further questions, please contact Gernot Müller-Putz ([contact details available in the full listing]), (no applications). Please note that we can only accept applications submitted via our online application portal. Applications sent by e-mail or post will not be considered.
Where to apply
- E-mail: [contact details available in the full listing]
- Website: https://jobs.tugraz.at/en/jobs/b0528201-f649-d3a3-818d-69c4122a066b/apply
Requirements
- Research Field: Computer science — Education Level: PhD or equivalent
- Research Field: Engineering — Education Level: PhD or equivalent
- Research Field: Information science — Education Level: PhD or equivalent
- Research Field: Technology — Education Level: PhD or equivalent
- Research Field: Neurosciences — Education Level: PhD or equivalent
Skills/Qualifications
- A completed doctoral degree (PhD) in a relevant field.
- A relevant habilitation (venia docendi) or an equivalent qualification.
- Excellent scientific achievements in areas listed above.
- Excellent didactic and pedagogical skills.
- Experience in management and leadership of multi-person research projects.
- Excellent command of English and command of German or the willingness to acquire it.
Languages: ENGLISH — Level: Excellent
- Research Field: Computer science — Years of Research Experience: 4 - 10
- Research Field: Communication sciences — Years of Research Experience: More than 10
- Research Field: Engineering — Years of Research Experience: 4 - 10
- Research Field: Neurosciences — Years of Research Experience: 4 - 10
- Research Field: Technology — Years of Research Experience: 4 - 10
Additional Information
Benefits
The advertised position is a tenured full professorship with a competitive salary. The university will provide funding for one or more PhD students and the necessary research equipment.
TU Graz offers excellent working conditions within an active research community, not to mention the outstanding quality of life in the Graz area. We also support your partner's career development through our dual-career service, and can advise you on relocation issues. A combination of national and European funding organisations ensures an excellent funding landscape. There are also numerous opportunities to collaborate with other national and international research institutions, as well as medium-sized companies and industrial enterprises.
Eligibility criteria
More on: https://csbme.tugraz.at/go/applications/activeimplants
Website for additional job details: https://jobs.tugraz.at/en/jobs/b0528201-f649-d3a3-818d-69c4122a066b
Work Location(s)
- Number of offers available: 1
- Company/Institute: Faculty of Computer Science and Biomedical Engineering
- Country: Austria
- City: GRAZ
- Postal Code: A-8010
- Street: Rechbauerstraße 12
Contact
- City: GRAZ
- Website: https://www.tugraz.at
- Street: Rechbauerstraße 12
- Postal Code: A-8010
- E-Mail: [contact details available in the full listing]
- Phone: ([contact details available in the full listing]
