The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. is a research institute dedicated to the development and improvement of analytical methods and tools for health research and related fields. The ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.
A new project area in the institute is the development of advanced imaging, especially light-sheet fluorescence microscopy (LSFM), for the analysis of whole organs under physiological and pathological conditions. LSFM generates extremely large data sets. Modern machine learning and artificial intelligence provide approaches to fully exploit these data sets and translate their rich information into a better understanding of the underlying biological mechanisms. Innovative machine learning approaches, for example based on explainable deep learning approaches, promise to make hidden structures of human cognition accessible and thus guide further experimental investigation and new hypotheses.
In the department of Biospectroscopy at the ISAS (Dortmund, Germany) you will setup your own research group that focuses on the following tasks:
• Devise and carry out an interdisciplinary research agenda that advances the use of LSFM and other microscopy approaches in life science research through the development of innovative machine learning approaches
• Exploit the advantages of an in-house IT infrastructure involving a high-performance GPU- cluster and petabyte-sized data storage facilities
• Build up a research infrastructure including large scale ground truth data sets and annotations of healthy and diseased organs in close cooperation with the biomedical research groups at ISAS and supported by appropriate artificial data enhancement techniques
• Develop open scientific software accompanying the research agenda, supporting data analysis, image segmentations, annotations and visualizations for biomedical research studies
• Establish a visible landmark in the computational life science research community through high ranking publications and successful third-party funding initiatives, as well as a regional, national and international network of interdisciplinary collaborators.
• A PhD degree in computer science/statistics/physics/computer visualistics/data science or a related field
• Alternatively, a career changer, e.g. with biomedical PhD, who has acquired specialized IT knowledge over the years
• An excellent track record in computational biomedical research, ideally with a focus on microscopic image analysis
• Publications at top tier conferences in computer vision and machine learning, like NeurIPS, CVPR, MICCAI and ISBI.
• Excellent skills as communicator and team leader
• Fluent English (spoken and written)
• Good German communication skills are a plus
• A superbly equipped group funded initially for 5 years
• Scientific development opportunities in an international cooperative, interdisciplinary re-search environment and an excellent working atmosphere in a very dynamic and professional team
• Access to a research and teaching community at many nearby universities
• Extensive state-of-the-art equipment and infrastructure for the desired project
• A wide range of activities in skill enhancement and further qualification