We are always
looking for talented PhD candidates and postdocs. We also offer interesting Masters projects. Do get in touch if you are interested or if you have any questions.
*Official applications should include CV, cover letter, and contact to 2 references.
We invite applications from enthusiastic, motivated individuals to support our research group with a range of IT tasks as a Systems Administrator (50% TVL-E11)
- experience in management of IT infrastructures
- proficiency in Linux system administration
- knowledge of network configurations, and troubleshooting network issues in a cluster environment
- proficiency in scripting languages like Bash and Python for automating routine tasks
- familiarity with cluster hardware components, cluster storage solutions, and parallel file systems
- experience in managing Slurm clusters is a plus
- familiarity with InfiniBand interconnect technology, including its setup, configuration, and optimization, is a plus
- experience in development of data management systems is a plus
- fluency in English
- maintenance and development of our high performance computing cluster
- installation of new nodes and components on the HPC, trouble shooting and maintenance of existing ones
- communication with the vendors, managing repair of the broken parts
- communication and coordination with the University regarding server room infrastructure
- development of a data management system for the datasets currently collected in the group
- possibility of learning of hardware HPC infrastructures for data intensive computing using AI
- a lively, collaborative, and international working environment where colloquial and working language is English
We are research group of 15 international scholars located at the Center for Molecular Medicine, University of Cologne. Our research focus is the development of deep learning models for analysis of large image datasets in biology and medicine.
TheCollaborative Research Center 1607 “Towards immunomodulatory and anti(lymph)angiogenic therapies for age-related blinding eye diseases” is a newly established consortium at the University and University Hospital Cologne. The focus of the research center is investigating the role of immune and vascular system across a range of eye diseases. An important part of this research will rely on various imaging methods and image data analysis. The CRC 1607 is welcoming applications for:
2 PhD candidates in imaging and image analysis (75% TVL-E13/E14)
The two candidates will work within the Local Immune Modulation in Experimental Ophtalmology lab of Prof. Felix Bock and with the Data Science of Bioimages lab of Prof. Katarzyna Bozek. The candidates will establish and run imaging and analysis pipelines for the projects of the CRC and this way play a central role in the research center. Both candidates will also collaborate to establish data generation and analysis methods that best serve the research goals of the CRC.
We are looking for one PhD candidate that will work on the imaging techniques and one PhD candidate that will develop image analysis methods. Please apply if your profile corresponds to either of the two profiles described above.
Applications from female candidates are welcome; suitably qualified women will be given preferential consideration unless other applicants clearly demonstrate superior qualifications.
We also welcome applications from candidates with disabilities, who will also be given preferential consideration over other applicants with comparable qualifications.
Applications should include CV, cover letter, and contact to 2 references. In your application please state which of the roles are you applying for.
Imaging Requirements:
- MSc degree in bioinformatics, biology, molecular medicine or comparable
- with interest and experience in fluorescence microscopy and image analysis,
- programming skills (python) ,
- experience with deep learning is a plus.
Image Analysis Requirements:
- MSc degree in computer science, physics, bioinformatics, or a related field,
- good programming skills (python),
- experience with deep learning is a plus,
- great communication skills, capacity of working in a team and in an interdisciplinary environment,
- capacity of independently managing a project involving multiple collaboration partners.
Imaging Responsibilities:
- development of a spatial analysis method of corneal immune cells including immunofluorescence, confocal microscopy, and programming,
- establishing dynamic microscopic OCT as new imaging method for structures in the eye.
Image Analysis Responsibilities:
- development of computational methods and processing pipelines dedicated to the project,
- application of existing and development of new analytical and ML solutions,
- data visualization and communication,
- work in close collaboration with our medical collaboration partners,
- collaboration with our medical informatics partners who will establish data management platform.
For both positions we offer:
- opportunity to apply and develop cutting-edge technologies to resolve timely medical and scientific problems,
- collaborative, and international multi-disciplinary working environment where colloquial and working language is English,
- development and networking through participation in workshop and conferences on imaging, ML and biology or medicine.
Your salary will be based on TV-L / TV-Ä.
- Both research groups are located in some of the largest medical campuses in Germany hosting cutting edge medical and translational science. The position offers a unique environment combining medical, experimental, and computational researchers.
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