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For over ten years, Rhine-Waal University of Applied Sciences in the Lower Rhine region of Germany has provided an innovative, interdisciplinary and international education to young minds from around the world. We offer a total of 36 undergraduate and postgraduate degree programmes in four multidisciplinary faculties: Technology and Bionics, Life Sciences, Society and Economics, and Communication and Environment. Our scientifically-oriented degree programmes combine an applied academic approach with a broad international scope, resulting in a high-quality education and teaching and research with significant real-world relevance. 75% of our degree programmes are taught in English. Over 7,300 students from 122 different countries are currently pursuing a degree in our uniquely international and intercultural learning community. International collaboration is a strength of ours, visible in our active network of more than 90 partner universities in 38 countries. We are connected to the broader world, but also deeply rooted in our own the Dutch-German EUREGIO region as well.

We are currently seeking to fill the following position in the Faculty of Technology and Bionics, Kleve Campus, to be filled as soon as possible:

Research Associate for a PhD position in Machine Learning for Big Sleep Data

 Reference Number 03/F1/21

German TV-L pay scale level EG13, (initially) fixed-term contract for 1+3 years according to§ 2 Abs.1 S.1 (WissZeitVG), part-time with 50 % of the average weekly hours of the full-time equivalent. After reaching the qualification goals in the first year, the contract will be extended to (in total) 4 years duration.

The PhD project is a collaboration between Rhine-Waal University of Applied Sciences and the Donders Institute for Brain, Cognition and Behaviour (Nijmegen, The Netherlands). Together we are looking for a joint PhD candidate combining data science/AI, wearable EEG technology, and big sleep data. The project is further embedded in the infrastructure of the Donders Institute, providing a unique and stimulating learning environment for young researchers, including a high-profile graduate school and in-house methodological expert courses. Sleep research is a vibrant and rapidly growing field at the Donders Institute, with several research groups in human and animal sleep research.

Most sleep research works with very small data samples. In this project, we will use machine learning to investigate big sleep data, using both large open sleep EEG datasets and unique novel studies with multiple repeated sleep EEG recordings via full polysomnography and sleep EEG wearables in naturalistic home-based settings. The results will be fed back into the development of sleep EEG software and hardware development, and clinical applications in psychiatry and neurology.

YOUR TASKS

  • The successful candidate will lead different research projects within this general framework under supervision of neuroscientists and computer scientists; will be closely involved in daily supervision of MSc students assisting the project; and will participate in the vibrant Donders Graduate School.
    This includes: 1. Writing a grant application in the first year
                           2. Acquisition of Basic German skills during the first
                               year

YOUR PROFILE

  • You have earned a very good master degree with background in Data Science, ML, AI, Computer Sciences, Biomedical Engineering or adjacent field
  • Strong background in Machine Learning, Signal Processing and Multivariate Statistics
  • Proficiency in Python, C, C++
  • Interest in sleep and dream research
  • Fluency in written and spoken English (C1 level)
  • You work in a structured and independent manner und you have very good organizational skills and you are a strong team player
  • You can demonstrate communicative, analytical and conceptual skills
  • The capacity to participate in a collaborative, interdisciplinary, international research

WHAT WE OFFER YOU

Diversity | Internationality | Certified as a family-friendly university | Teleworking as well as home office | University sports | Active break | Collegial, open working atmosphere| Exciting and varied range of tasks | Personal responsibility and creative freedom | opportunities for personal and professional development

Non-native German speakers must have at least basic proficiency in German.

Rhine-Waal University of Applied Sciences is committed to the professional development and advancement of women. Female candidates are expressly welcomed and encouraged to apply. In accordance with the Gender Equality Act of North Rhine-Westphalia (Landesgleichstellungsgesetz NRW), in cases of equal suitability, aptitude and professional experience, female candidates shall be given preferential consideration over male candidates for vacancies in areas with proportionally fewer female employees, provided there are no specific, overriding reasons for giving preference to a specific male candidate.

In the event of equal suitability, preferential consideration will also be given to disabled candidates or candidates recognised as such by virtue of Section 2 (3) of the German Code of Social Law, Book IX (SGB IX).

Please submit your application through the following link: https://www.hochschule-rhein-waal.de/en/vacancies and add the usual application documents (cover letter, curriculum vitae, diplomas, job references, proof of qualifications and, if applicable, proof of severe disability) in a single PDF file.


WE LOOK FORWARD TO RECEIVING YOUR APPLICATION BY NO LATER THAN 02.03.2021

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