bmt

PhD Position: Data-driven Modelling of Brain Wave Dynamics during Sleep

The Institute of Biomedical Engineering conducts research at the forefront of medical wearables to advance remote monitoring and improve patient outcomes. We are seeking talented researchers to develop new algorithms for modeling the electroencephalogram (EEG) during sleep, enhancing the understanding of its dynamics. Doctoral research topics may include generative AI, recurrent neural networks, circadian and ultradian modelling, biomedical signal processing, pattern recognition, and the integration of algorithms into embedded systems for accurate sleep quality assessment.


Your Profile:
  • Hold or be near completion of a Master’s degree in a relevant discipline such as Biomedical Engineering, Computer Science, Neuroscience, or a related field.
  • Excellent background in machine learning and generative AI. Experience with the application of transformers in the context of biomedical signal processing would be advantageous.
  • Demonstrate a strong interest in topics related to sleep and brain physiology and the application of technology to improve health outcomes.
  • Have a strong interest and aptitude for algorithm development and time-series data analysis.
  • Familiarity with relevant programming languages (e.g., Python, MATLAB) and data handling techniques is highly desirable.
  • Demonstrate strong problem-solving skills and the ability to contribute to cutting-edge research.
  • Excellent written and oral communication skills in English.
  • Be team-oriented and possess strong interpersonal skills to collaborate effectively with a multidisciplinary team and clinical partners.
Your Responsibilities:
  • Conducting cutting-edge research into the modelling of EEG and sleep patterns.
  • Designing and implementing algorithms for generating artificial EEG waveforms from wearable data.
  • Analysing large datasets of physiological data to identify patterns and digital biomarkers relevant to sleep quality.
  • Collaborating with healthcare professionals and neuroscientists to ensure the clinical relevance and usability of developed solutions.
  • Contributing to the dissemination of research findings through publications and presentations.
  • Staying up to date with the latest advancements in wearable technology, generative AI, and sleep research. 

We offer:
  • The opportunity to be at the forefront of innovation and research in sleep monitoring, AI and wearable technology.
  • A stimulating and collaborative working environment within a dynamic and growing team.
  • An interdisciplinary and innovative research environment.
  • Ample opportunities for academic and personal development.
  • Opportunities for career development and networking through conferences and events.
  • Competitive salary in line with local university regulations and standards in Germany.
     
Evening in Ulm, Germany

How to apply

Applications must be submitted through our University Job Portal. Please refer to the job postings above for contact details if you have any questions about the application process.

Screening will be conducted on a rolling basis until the position is filled, at which point the advertisement will be removed from the portal and our website.

  • Incomplete applications will not be considered.

  • Applications sent via postal mail will not be processed.

  • Submissions without a clear connection to our institute will be disregarded.

If the listing is no longer available, you may submit your application via email to bmt@uni-ulm.de.

When applying via email, use a clear subject line specifying the position you are applying for. Attach the following documents:

  • Cover Letter (max. 2 pages)

    • Outline your career goals, research interests, and motivation for applying.

    • Explain why you are the best fit for the position and our institute.

    • Identify any knowledge gaps you aim to bridge in your academic career.

  • Detailed CV

  • Official Undergraduate & Graduate Transcripts

    • If you have not yet graduated, indicate your expected graduation date.

  • Example of Academic Writing

    • This can include your master’s thesis, a recent first-author publication, or a similar document.

  • Reference Contacts

    • Doctoral Candidates: At least two references (professors/supervisors).

    • Postdoctoral Candidates: At least three references.

 

About us

Founded in 2021, the Institute of Biomedical Engineering at the University of Ulm is dedicated to advancing digital health and medical wearables. Our research focuses on developing mobile health (mHealth) systems and machine learning-driven solutions to provide personalized medical services and interventions, ultimately enhancing patient outcomes and quality of life. Our creative and diverse team integrates expertise from electronics and mechatronics engineering, computer science, physiology, and medical regulations to tackle real-world health challenges and translate them into clinical solutions. The institute is led by Prof. Dr. Walter Karlen, a recognized expert in biomedical signal processing and wearable sensing for healthcare. He has an extensive publication record in medical and engineering journals, co-founded two start-up companies, and has successfully mentored young researchers worldwide.

We offer a multidisciplinary research environment with access to state-of-the-art facilities, including:

  • A rapid prototyping lab for wearable development

  • A human testing and validation center

  • High-performance computing infrastructure

  • Secure Internet-of-Things (IoT) middleware

Our institute actively collaborates with leading medical institutions and research groups both locally and internationally, fostering a dynamic and innovative research ecosystem.

Founded in 1967, Ulm University in Baden-Württemberg, Germany, is consistently ranked among the top 15 research universities in the country. With a diverse community of over 10,000 students, researchers, and staff from more than 100 countries, we are committed to excellence in education and innovation.

Our university offers a future-oriented curriculum and cutting-edge research programs across four faculties:

  • Medicine

  • Engineering, Computer Science, and Psychology

  • Mathematics and Economics

  • Natural Sciences

As a young and research-driven university, we focus on addressing global challenges through 12 strategic and interdisciplinary research themes, contributing to advancements in aging, sustainability, future technologies, and human health and well-being. Ulm University plays a pivotal role in the Science City of Ulm, a dynamic hub of leading research institutions, high-tech companies, and maximum-care hospitals, strategically located between Stuttgart and Munich.