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PhD student (d/f/m) Physiological Signal Processing for Clinical Decision Support

Specialty
Digital health, Medical informatics

Charite IT Kampagnenmotiv 7
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Work time
part-time

Start date
01.11.2026

Employment period
limited

Application deadline
15.09.2026

Deployment location Charité
Campus Charité Mitte

Jobcode
8179

Salary group
E13

 

Working at Charité

The Institute for AI in Medicine, established at Charité in November 2025, systematically integrates computer science with medicine and the basic sciences. Its portfolio spans fundamental AI research, the development of clinical applications, and their rigorous evaluation in routine healthcare settings. The institute places a strong emphasis on application-oriented research and development. In close collaboration with the Berlin Institute for the Foundations of Learning and Data (BIFOLD), it develops novel AI methods, adapts them to medical use cases, and translates them into clinical practice.

Overview of the position

For the HumAMI project, we are seeking a highly motivated PhD candidate with a strong quantitative and methodological-technical background. The position is particularly suited to candidates who wish to work at the interface of artificial intelligence, biosignals, and clinical research, and who aim to translate technical methods into robust, clinically relevant applications.

Your responsibilities will include:

  • Conducting a doctoral research project at the interface of artificial intelligence, signal processing, and clinical research
  • Developing and evaluating AI-based methods for multimodal physiological monitoring and clinical decision support
  • Processing, synchronizing, assessing the quality of, and analyzing multimodal physiological data
  • Employing technologies such as remote photoplethysmography (rPPG), radar-based sensing, and other physiological and contextual sensors
  • Methodological focus on signal processing and machine learning
  • Contributing to AI-supported clinical decision support systems based on retrieval-augmented generation (RAG) and agent-based approaches
  • Working in an interdisciplinary team comprising computer scientists, data scientists, and clinicians
  • Collaborating with academic, clinical, and industrial partners within the HumAMI consortium

The position is offered as a research associate role. In accordance with § 110 (4) sentence 3 of the Berlin Higher Education Act (BerlHG), scientific staff are granted appropriate time during working hours to pursue their own academic qualification.

What we are looking for

  • Completed university degree (Master’s or equivalent) in computer science, data science, artificial intelligence, biomedical engineering, medical informatics, applied mathematics, physics, or a related quantitatively oriented field
  • Very good programming skills, preferably in Python, along with experience in scientific computing and common libraries for data analysis and machine learning
  • Solid knowledge of machine learning, statistical data analysis, and quantitative research methods
  • Experience with time-series data, signal processing, and/or the analysis of biological signals
  • Experience with physiological signals such as ECG, PPG/rPPG, blood pressure data, or radar-based sensor systems is an advantage
  • Familiarity with relevant signal-processing concepts, e.g. filtering, segmentation, feature extraction, and signal quality assessment
  • Experience with temporal alignment of multimodal data, data synchronization, sensor fusion, or related methods is desirable
  • Experience in the development, validation, and performance evaluation of machine learning models
  • Familiarity with longitudinal, repeated-measures, or participant-level grouped data is an advantage
  • Ability to work with heterogeneous datasets and to develop reproducible data processing and analysis pipelines
  • Experience with medical or clinical datasets, as well as an understanding of requirements regarding data protection, interpretability, and clinical validation, is desirable
  • Familiarity with version control systems and reproducible research workflows, e.g. Git and Docker
  • Excellent English skills, both written and spoken (C1 level)
  • Strong scientific curiosity, independent and reliable working style, and willingness to work in an interdisciplinary research environment

Charité offers you

  • Highly professional work environment in motivated and interdisciplinary teams
  • A future-oriented, varied and demanding position with a high grade of personal responsibility and personal decision making opportunities
  • Extensive offers for inhouse training and professional development as well as further qualifications
  • Special offers in the areas of shopping, travel and sports
  • Additional pension program with a company wide pension scheme
  • Certification as a family friendly university and company since 2007 (you may find further information here)

Information regarding the position

  • Salary group E13 TVöD VKA-K. You can find all information on salary and the applicable collective agreement here
  • The position is to be filled on a part-time basis at 25.03 hours per week (65%), fixed-term for 36 months under the WissZeitVG and serves the qualification objective of obtaining a doctoral degree
  • 30 days of paid vacation per year
  • The application period ends on: 15th September, 2026
  • Position ID: 8179

Application

 

Everyone is welcome at the Charité, regardless of age, religion, gender, gender identity, sexual orientation, nationality, disability, ethnic or social background. We are committed to equal opportunities and inclusion.

For data protection reasons, we only accept applications via our application portal. The contact details provided below are intended solely for inquiries.

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If you have questions, please contact:

Dr. Dominik Naumann 
dominik-werner.naumann@charite.de 

More information

Data protection information

The Charité would like to point out that personal data is stored and processed at various locations at the Charité premises (e.g. specialty department, personnel representatives, HR department) as part of and for the purposes of the application process. Furthermore, the data may be transferred or processed within the group and to external bodies (e.g. authorities) to protect legitimate interests. By submitting your application, you agree to our data protection policy and terms of use for application procedures, which you can find here.

Additional information

Charité – Universitätsmedizin Berlin makes its personnel decisions based on suitability, ability and professional performance. The Charité aims to increase the proportion of women in management positions and therefore strongly encourages women to apply. Women with equivalent qualifications will be given priority within the scope of legal possibilities. Applications from people with a migration background who meet the recruitment requirements are expressly encouraged. Severely disabled applicants with equal qualifications will be given preference. A police good-conduct certificate, in some cases an extended good-conduct certificate, is required at the time of recruitment. Unfortunately, application documents can be returned only if a sufficiently stamped envelope is enclosed. Any incurred travel expenses cannot be reimbursed.