Microscopy Scientist Position

Website Ruhr University Bochum

The Medical Imaging Center Light Microscopy (MIC-LM) employs a wide range of technologies for imaging and image analysis and is equipped with state-of-the-art microscopes, for example to perform Structured Illumination Microscopy (SIM), Photoactivated Localization Microscopy (PALM), and Fluorescence Lifetime Imaging Microscopy (FLIM). The MIC-LM is integrated in interdisciplinary projects focusing on cell biology, biomedical molecular biology, immunology, host-pathogen interactions, microbiology, and neurobiology. MIC-LM is embedded within the Medical Research Services Core Facilities and actively contributes to various national and international research consortia, fostering an interactive scientific environment.

The MIC-LM is seeking to recruit a highly motivated scientist to join its team and work in a highly stimulating academic research environment. The successful candidate should have a strong background in advanced light microscopy, ideally including super-resolution microscopy, and an interest in the establishment and development of imaging technologies. Remuneration will be based on qualifications and the salary structure of the TV-L (public service tariff scale). The initial contract is limited to three years.

Your tasks:

  • Establish, apply and support advanced light microscopy techniques including confocal laser scanning microscopy, fluorescence lifetime and super-resolution microscopy, as well as automated microscopy.
  • Generate workflows for automated image acquisition and quantitative analysis, including segmentation and machine learning-assisted image processing and data analysis.
  • Manage and organize data acquisition and facilitate access to computing resources for image analysis.
  • Advise and assist users with experimental planning, execution, and analysis.
  • Train staff and users in image acquisition and analysis techniques through workshops and practical courses.
  • Maintain microscopes and computer work stations.

Your profile:

  • Ph.D. in physics, biology, biochemistry, chemistry or equivalent qualification, with strong expertise in light microscopy.
  • Proven ability to design, implement, and optimize microscopy-based experiments using advanced light microscopy techniques.
  • Experience in quantitative image analysis and data management, ideally including automated or machine learning-based segmentation approaches.
  • Analytical and organizational skills, and the ability to work independently and to coordinate collaborative projects.
  • Ability to work in an international team.
  • Fluent in English; German knowledge is advantageous but not essential.

We offer:

  • Team-oriented collaboration in a committed, international and appreciative team
  • A friendly and collegial environment
  • Extensive training and development opportunities
  • Challenging and versatile tasks

Further information:

The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.

Further information can be found at https://oeffentlicher-dienst.info/ (in German).

The place of work is Ruhr University Bochum.

If the position is funded by third-party funds the employee has no teaching obligation.

RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees. 

German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF). https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en

The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.

Contact persons for further information:

Dr. Konstanze Winklhofer +49 234 32 28428
Dr. Verian Bader +49 234 32 17612

Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.

We look forward to receiving your application via our online application portal by 2026-06-22. Please make sure to mention the reference number ANR 5580.

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