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> Temporary: 4 years
> Remuneration: TV-L EG 13
> Start: 01.01.2025 or later
For the Institute of Molecular Medicine we are looking for two
Academic employee (m/f/d)
We seek to increase the proportion of women in research and teaching and particularly encourage qualified female scientists to apply for this position.
Severely disabled applicants with equal aptitude will be given preferential consideration.
The Grigoryan Lab (Stem Cell Niche & Aging Research Group) at the Institute of Molecular Medicine, Ulm University invites highly motivated and qualified students to apply for 2 open Ph D positions in the ERC-2024-STG funded Project 1101165141-MANAGE HSC.
Ulm University is a young research university with over 10.000 students in medicine and STEM subjects and is ranked one of the top 20 universities in Germany. The Institute of Molecular Medicine is home to leading experts in the field of Aging and Stem Cell research.
The Stem Cell Niche & Aging Research Group comprises a young, bright and ambitious team and is seeking talented and highly motivated candidates for:
Ph D positions in the field of human hematopoietic stem cells, bone marrow microenvironment and aging.
Project description
The project seeks to understand the effects of aged bone marrow microenvironment (BME) on the function of hematopoietic stem cells (HSCs) in humans.
Aging of the hematopoietic system is associated with impaired immune response, anaemia and increased frequency of myeloid malignancies. Therefore, understanding the factors that cause impairments in the hematopoietic system with age is of great importance.The hematopoietic system is maintained by HSCs. The BME, where HSCs reside, is a major regulator of HSC function, and an aged BME likely contributes to a decline in the function of HSCs. Thus, using an advanced aging-centred model of human BME, the project aims to investigate age-associated changes in human BME and its consequences on human HSC function.
The ultimate goal of the project will be to identify novel possibilities to improve the function of HSCs in aged BME, thus attenuating impaired hematopoiesis in the elderly.
Your profile:
- Master’s degree in biological sciences (Biology, Biochemistry, Cell/Molecular Biology) or related study programs, with a CGPA of 2.0 or better according to the German ranking system
- Strong background in cell and molecular biology. Prior working experience with mesenchymal cells, hematopoietic stem cells and aging will be an advantage
- Willingness to perform in vivo mouse experiments
- Good English Language proficiency (written and spoken)
- Good planning and organizational skills and ability to work independently
- Good skills in RNA-sequencing data analysis and high motivation to further develop these skills will be advantageous
- Basic knowledge of R and/or Python will be an advantage
Your responsibilities:
- Develop your research project by planning, designing and performing experiments, and analysing and interpreting the generated data
- Present your work progress in lab meetings
- Take part in lab organisation
- Join the International Graduate School in Molecular Medicine Ulm (IGrad U) and fulfil your responsibilities as a Ph D student of IGrad U
We offer:
- An excellent research environment with a great collaborative community of experts in stem cell, aging and regeneration in a young and vibrant international working group.
- Access to state-of-the-art equipment and core facilities necessary for the projects.
- Excellent training and further development opportunities from the Stem Cell Niche & Aging Research Group and the Institute of Molecular Medicine in addition to the International Graduate School program of the University of Ulm, where students will be enrolled.
The university and what we offer: Seize the opportunity and join us in shaping the future of the University!
> Referenz-no.: 24143 > Application deadline: 30.11.2024
Hiring is done by the Central University Administration.
Your contact for further information: Jun. Prof. Dr. Ani Grigoryan, phone +49 731 50-26729
We look forward to your application via our