The Department of Pathology at the University Medical Center Göttingen invites applications for a University professorship
Data analysis and data fusion for new diagnostic imaging procedures
(Pay grade W2)
Commencing as soon as possible. The position will be appointed permanently.
The focus will be on investigating the potential of applying different imaging data analysis methods also in pathological and/or radiological diagnostics as well as in contributing to the continued development of the focal research area oncology at the UMG. Among the methods are: the scientific exploration and application of image analysis procedures using machine learning, the fusion of different modalities (e.g., histologic procedures and radiologic imaging), three-dimensional reconstruction, etc. The application materials should
therefore highlight a strong scientific emphasis on the analysis of imaging data, especially with regard to histology (pathology or anatomy), and hands-on experience in machine learning.
The incumbent will assume responsibilities in research and teaching exclusively. This includes being in charge of coordinating research activities in the areas of digital image analysis and machine learning at the Institute of Pathology and within the scope of cross-faculty and cross-institutional structures on campus. The responsibilities further entail the development of a dedicated research group, obtaining third-party funding, and involvement in teaching.
Foreign applicants should feel especially encouraged to apply.
Part time work can be offered depending on individual circumstances.
The UMG strives to increase the number of women on its staff and therefore particularly encourages qualified women to apply. In case of applicants of equal qualifications, candidates with disabilities will be given preference.
Please submit your application until 31.05.2020 using the following link:
If you have any questions, please feel free to contact us at Berufungen@med.unigoettingen.de.
PhD Position in Computational Neuroscience (f/m/d)
funded position for 3 years
Background: The human brain consists of 86 × 10^9 neurons, whereas the zebrafish larval brain only contains approximately 10^5. Despite its smaller size, the basic neuronal architecture or bauplan of the zebrafish brain is largely comparable to its human counterpart. Moreover, not only are the basic building blocks and neural circuitry evolutionary conserved, but in addition larval zebrafish are small and transparent, thereby offering a unique opportunity to observe neuronal activity with high resolution microscop.
Project: We are looking for an enthusiastic PhD student to analyze, model, and possibly predict neural activity. In the PhD project, the candidate will analyze activity patterns of nerve cells throughout the entire brain obtained by advanced imaging techniques such as light sheet microscopy. This requires, first, the identification and segmentation of signals and their 3Dreconstruction over time, and, second, the registration of individual brains and their corresponding activity patterns onto a reference brain in order to compare different data sets.
To this end, you will develop deep learning approaches within a Python framework. Since the imaging datasets are usually large (in the terabyte range), GPU-based methods to accelerate data processing routines will be implemented together with existing frameworks such as advanced normalization tools (ANTs). In addition, the candidate should be interested in working in an interdisciplinary and cutting edge research area together with engineers, biologists, and data scientists.
The goal of the PhD project is to analyze and quantify neuronal activity patterns across the entire brain in response to externally provided stimuli mapped onto a reference brain. This will provide fundamental insights into brain function in health and disease and may ultimately also lead to novel and better treatments of neuropsychiatric disorders such as depression, anxiety, and drug addiction.
The PhD position is offered in the Köster Lab at the Zoological Institute (https://www.tubraunschweig.de/en/zoology) in Braunschweig, Germany. The preferred starting date is the 01.07.2020, and the duration is 3 years. The position is part-time suitable, but should be occupied 100% and is aimed to lead to a PhD degree as Dr. rer. nat. at the Life Sciences Faculty of the Technical University (TU) of Braunschweig.
The payment is made according to task assignment and fulfillment of personal requirements to salary group EG 13 TV-L, 65% (approximately: 2.000 €/month net). Applicants from non-EU countries may have to successfully complete a visa process before hiring can take place and are welcomed to apply.
Applications: should be sent by e-mail to Reinhard Köster (email@example.com), and must contain the following documents.
- Motivation Letter including contact information for two references
- Curriculum Vitae including complete address, phone number, email address,
educational background, language skills, and work experience
- copies of bachelor and master degrees and transcript of grades in original language and in English or German translation
- additional documents should be provided on request
All documents should be in the PDF format; preferably, please provide the entire application in a single file. Personal data and documents relating to the application process will be stored electronically. Please note that application costs cannot be refunded.
Deadline for applications: until position is filled.