PhD (m/w/d) Antibodies in Vascular Diseases

Department of Rheumatology and Clinical Immunology – Antibodies in Vascular Diseases 

(Director: Prof. Dr. Gabriela Riemekasten)

The Department of Rheumatology and Clinical Immunology invites applications for a Doctoral Research Position (PhD). The position is embedded in the DFG-funded Research Unit FOR 5930, a multidisciplinary collaboration arround Athero-Immunology between research institutions in Lübeck, Berlin, Borstel, and Kiel. Our department is leading in the field of research on antibodies targeting G-protein coupled receptors. Within the project we aim to decipher the role of the antibodies and their respective antigen in cardiovascular diseases with a focus on atherosclerosis.

Start in our team

We are looking for professional and competent support to start as soon as possible, limited until 31 March 2027.

What we offer:

• The salary will be based on the German E13 TV-L scale, if terms and conditions under collective bargaining law are fulfilled
• Part-time employment currently 25 hours/week
• Access to state-of-art research facilities and laboratory equipment e.g. multiphoton intravital imaging, scRNA-seq, organ-on-a-chip technology, mass spectrometry, cell analyzer, etc.
• Opportunities for attending seminars, lectures, and project meetings as well as the possibility to participate in national and international conferences and workshops form part of our Ph.D. program.
• You can find more attractive UKSH benefits here: Benefits (uksh.de)

Your role:

• Research on antigens driving the development of antibody formation in vascular diseases
• Use of advanced techniques for deciphering immunological mechanisms and advanced bioinformatic techniques
• Structured supervision and mentoring
• Presentations at conferences and workshops
• Preparation of reports and scientific publications

Your profile:

• Successfully completed university studies in the field of molecular biology, biochemistry, immunology or similar
• Strong background in wet-lab molecular biology techniques
• Knowledge of biostatistical and computational biology is ideal
• Ability to work independently and in a structured manner
• Very good written and spoken English skills

Please submit your application until 08th April 2026, indicating the reference number 28242.