PhD Position (m/f/d) in Neural Engineering, Group Leader Müller-Putz

  • Graz, Steiermark
  • € 52.007 pro Jahr
  • Befristet
  • Vollzeit
  • 2 Tage her
Offer DescriptionYour 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
Your ProfileExperience in electroencephalogram and electrospinogram, other biosignalsExperience in biosignal processingExperience in nerve stimulationKnowlege in machine learningVery good written and spoken English skillsInterest in PhD ThesisKnowledge in inverse problems and forward modelsWillingness to be mobile (work in international projects, conferences, etc.)Admission RequirementsCompleted master's or diploma degree in biomedical engineering, computer science, information & computer engineering or similar studiesWe 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
  • Award for being the most family-friendly company in Styria 2018
  • 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 € 52,007.20 for a fulltime position. An overpayment based on qualification and experience is possible.Equality PrincipleGraz 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 UnitThe 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.About usGraz 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:ContactFor 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.Where to apply E-mailgernot.mueller@tugraz.at WebsiteRequirementsResearch Field Engineering Education Level Master Degree or equivalentSkills/QualificationsExperience in electroencephalogram and electrospinogram, other biosignalsExperience in nerve stimulationExperience in biosignal processing and knowledge in machine learningLanguages ENGLISH Level ExcellentLanguages GERMAN Level BasicResearch Field Engineering Years of Research Experience 1 - 4Research Field Neurosciences Years of Research Experience 1 - 4Additional InformationBenefits
  • 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
  • Award for being the most family-friendly company in Styria 2018
  • 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
Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Institute of Neural Engineering Country Austria City GRAZ Postal Code A-8010 Street Rechbauerstraße 12Contact CityGRAZ WebsiteStreetRechbauerstraße 12 Postal CodeA-8010 E-Mailgernot.mueller@tugraz.at Phone(+43) 316 873 30700STATUS: EXPIREDShare this page

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