Research Associate for the Project “Combination therapy development toolbox against antimicrobial resistance (COMBAT-AMR)" § 28 Subsection 3 HmbHG
Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Chemistry, Institute of Pharmacy
Salary level: EGR. 13 TV-L
Start date: 01.07.2025, fixed till 31.05.2028 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).
Application deadline: 2025-05-27
Scope of work: part-time
Weekly hours: 65 % of standard work hours per week
The use of antimicrobial combinations plays a vital role in addressing antimicrobial resistance (AMR) and managing complicated infections. Yet, identifying effective combinations and fine-tuning their dosing regimens to enhance therapeutic outcomes while limiting AMR emergence remains a complex task, requiring substantial preclinical research. To accelerate progress in this area, there is a pressing need for harmonized strategies that merge laboratory-based assays with advanced computational modeling.
This JPIAMR-funded PhD project aims to establish a comprehensive toolkit combining experimental techniques and pharmacometric methodologies to support the development and assessment of antibiotic combination therapies.
Your responsibilities
Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. They may also pursue doctoral studies outside of working duties.
We are looking for a motivated PhD candidate with a strong background and interest in experimental work and modeling. In this role, the candidate will not only build and apply pharmacometric models but also take part in designing and conducting in vitro experiments that inform and validate the models. The project involves close collaboration with partner institutions, including the University of Leiden, the University of Poitiers, the University of Copenhagen, and University College London.
Your profile
A university degree in a relevant field.
Desirable: Prior experience in pharmacokinetics/pharmacodynamics modeling, software proficiency (e.g., R, NONMEM, Python) and expertise in optimal study design. Experience in working with infection models.
We offer
Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.
The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.
The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Instructions for applying
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Application deadline
Use only the online application form to submit your application with the following documents:
- cover letter
- CV
- copies of degree certificate(s)
If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.
More information on data protection in selection procedures.
