Responsibilities

• Support in teaching in the field of biomedical engineering as well as independent implementation of courses and labs
• Preparing scientific publications and attending scientific conferences
• Preparation of project reports
• Support in the preparation of scientific research proposals
• Writing a doctoral thesis
• Assistance in the organization of scientific meetings & workshops

Admission Requirements

• Completed master's or diploma degree in biomedical engineering, computer science, information & computer engineering or similar studies

Desired Qualification

• Experience in electroencephalogram and electrospinogram, other biosignals
• Experience in biosignal processing
• Experience in nerve stimulation
• Knowledge in machine learning
• Very good written and spoken English skills
• Interest in PhD Thesis
• Knowledge in inverse problems and forward models
• Willingness to be mobile (work in international projects, conferences, etc.)

We Offer

We offer an annual gross salary of at least € 52,007.20 for a fulltime position. An overpayment based on qualification and experience is possible.

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.

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

Organisational Unit

The Institute of Neural Engineering at Graz University of Technology is an internationally renowned research institution focusing on brain-computer communication, cognitive and computational neuroscience. We have extensive expertise in electroencephalography (EEG) recording, near-infrared spectroscopy, peripheral biosignals, offline and online signal processing of brain signals and other biosignals, feature extraction, machine learning methods applied to brain patterns, and neurofeedback systems.

Contact

Graz University of Technology
Dean of the Faculty of Computer Science and Biomedical Engineering

For further questions please contact Univ. Prof. Dipl.-Ing. Dr. techn. Gernot Müller-Putz, gernot.mueller(at) tugraz.at (no applications).
Please note that we only accept applications submitted via our online application portal. Applications sent by e-mail or post will not be considered.