Reference no.: HI 2025/8
Achieving climate-neutrality within the next 20 years necessitates an innovation boost for the development of highly efficient, scalable, low-cost, and sustainably produced energy technologies. Polymer materials play a central role in this process. HIPOLE Jena integrates and expands world-class expertise in polymer chemistry, materials science, high-throughput experiments, and artificial intelligence with complementary expertise in inorganic/hybrid materials, scalable components, and advanced characterization.
We are looking for a PhD student (f/m/d) for our location in Jena, starting January 1, 2026. You will have the opportunity to support our young institute with your ideas and expertise right from the start and will work with researchers from all over the world to contribute to the development of a climate-friendly future. The position is assigned to the PolyCapture project and is within the department of Prof. Dr. Doreen Mollenhauer, with the following thematic focus:
- Computer-aided modeling of the electrochemical exchange adsorption of carbon dioxide on polymer-carbon hybrid materials
For more information on our research, please visit Homepage – HIPOLE Jena.
Your Tasks
- Screening of monomers from various polyanthraquinone types with respect to their redox chemistry and CO₂ capture using quantum chemical methods and machine learning tools
- Identification of structure–property relationships and development of design concepts
- Modeling of small polymer chains
- Electrochemical CO₂ conversion
- Application of computational Methods, including density functional theory, semi-empirical methods, wavefunction-based methods, and machine learning
- Summary, presentation, and publication of results
- Close collaboration with experimental research groups at HIPOLE Jena
Your Profile
- Successful completion of a university degree in chemistry, materials science, or a related field of study
- Excellent knowledge of theoretical chemistry/quantum chemistry and/or materials modeling
- Experience with Linux systems and high-performance computing (HPC) environments
- Experience in the field of machine learning is desirable
- Excellent command of English, both written and spoken
You demonstrate a high level of motivation, initiative, problem-solving skills, and a willingness to familiarize yourself with a wide range of tasks. You are characterized by your teamwork skills, reliability, independence, and communication abilities.
You enjoy working in an interdisciplinary, international team within a diverse and dynamic work environment.
Your Benefits
- International/diversity-sensitive working environment at a Helmholtz Institute in the science city of Jena
- Opportunity to contribute to the development of novel materials and technological solutions for a climate-neutral future together with top international researchers
- Career-enhancing networking opportunities and individual support and assistance programmes
- Good work-life balance through counselling services on family and career and flexible working time models: flextime, part-time, hybrid working
- 30 days paid leave
- Health management, company pension scheme (VBL), subsidy for the Deutschlandticket/Jobticket
- Long-term prospects, opportunities for further development/training programmes
- Payment in accordance with the collective agreement for the public sector (TVöD-Bund)
Fixed term contract for 36 months. The salary is based on the Collective Agreement for the German Public Service (TVöD-Bund).
How to apply
We look forward to receiving your application via our application management system by 30.11.2025. For reasons of data protection regulations, we are unfortunately unable to consider applications that reach us by other means (such as email or mail) in the application process.
We very much want our workplace to be diverse, and welcome applications from people with different backgrounds. It is our mission to promote equal opportunities and to improve women’s representation in the workforce. We are therefore very interested in receiving applications from women. Where the qualifications are met, we will give preference to people with disabilities.