Doctoral Positions (d/f/m) in Computational Neurology Einsatzort: BIH Berlin Mitte Bewerbungsfrist: 2 Wochen

 

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https://karriere.charite.de/stellenangebote/detail/7950

 

Company description

The Berlin Institute of Health at Charité (BIH) is dedicated to biomedical translation. Its mission is to translate research findings into personalized prevention, diagnostics, and therapies to benefit patients and provide the scientific community with effective tools. With approximately 750 employees, the BIH specializes in translational method development, precision medicine, regenerative therapies, and biomedical data science. Closely integrated with Charité, the BIH promotes excellent research and facilitates the accelerated transfer of new discoveries into clinical practice through its supporting platforms and programs. Through these efforts, the BIH builds strong partnerships and fosters innovation-driven medicine in both national and international contexts.

For the research group "Computational Neurology" starting from the earliest possible date limited for 3 years we are looking for 3 Doctoral Students (d/f/m) in part-time (25,03h/week). 

The research group "Computational Neurology" develops machine/deep learning methods along with theory-driven approaches from physics to better monitor, predict and prevent health deteriorations in epilepsy, intensive care and other neurological settings. Our approach utilizes multimodal data over the health-disease continuum, including wearables, in-hospital neuromonitoring, video and EEG. We are also studying the foundations of optimal information processing in biological and artificial intelligence neural networks. We are a highly interdisciplinary group where medical doctors/neurologists work closely together with natural scientists including physicists/data scientists.  

 

https://www.bihealth.org/en/research/research-group/computational-neurology

https://computational-neurology.org/ 

What you can expect

• Analysis of multimodal time-series data, including data from wearables and EEG
• Develepment of predictive models for machine learning and deep learning
• Numerical simulations and modeling
• Research with clinical partners as part of a highly interdisciplinary team 
• Research on parallels in optimal functioning between biological and artificial neural networks (NeuroAl)

What you bring along

• Completed scientific university degree (Master, Diploma or comparable) in Physics, IT, Data Science or a related discipline
• Programming skills (Python/Matlab, C++)
• Communication skills 
• Very good English and German language skills
• Interest in working in an interdisciplinary, translational clinical environment

What we offer you

• A varied job in a forward-looking research institute
• Pay group E13 TVöD VKA-K. The classification is based on qualifications, the respective experience level is calculated on the basis of professional experience. The annual salary (gross) is stated for a full-time position without special or additional payments. The collective agreement can be found here.
• Additional benefits customary in the public sector (including annual special payment, company pension scheme (VBL), capital-forming benefits)
• Flexible working hours and the option of working remote 
• 30 vacation days per year (with a five-day week)
• Various support offers to balance work and family life (childcare, cooperation with voiio)
• Training and further education opportunities
• Mobile citizens' office on site
• Corporate benefits (travel, leisure, shopping, etc.), Wellhub, JobRad
• Very easily accessible and attractive workplace at the
  Rahel Hirsch Center for Translational Medicine, Luisenstr. 65, 10117 Berlin
  
  

We live diversity!

We welcome applications from people with diverse backgrounds, regardless of gender, nationality, ethnic and social origin, religion and ideology, disability, age, sexual orientation and identity. Applications from women are expressly encouraged. Severely disabled and equivalent applicants will be given special consideration if they have the same qualifications and suitability.

We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work.

Please submit your application for Job ID 7950 by August, 17th 2026 via our online application form with a letter of motivation, curriculum vitae (without photo, without age statement and without information about your marital status) and other relevant attachments (such as employer references, degree certificates, etc.).

Note: If you have a foreign degree, please submit proof of recognition of your degree in Germany with your application. The proof can be obtained via the anabin database. Please note that it may be necessary to obtain a certificate assessment from the ZAB. You can find more information here.

Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970.

You can find more information about BIH here.