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Research position (m/f/d) Technical Faculty
Published(34 days ago)
Deadline for applications(6 days ago)
The Technical Faculty offers a full-time
(E13 TV-L, non-permanent position)
starting January 1st, 2020.
The digitalization of biomedicine and health care is one of the most driving topics of our times. The creation, advancement and implementation of methods, tools, and software that support and improve modern biology and medicine is therefore one of the most relevant research topics at the interfaces of Data Science and Computational Biology.
The group "Biomedical Data Science", which will be founded in January 2020 (Principal Investigator: Alexander Schönhuth), will put the clear focus on related issues in computational biomedical research. The emphasis on topics covered will be on big data analysis and management, relating to modern high throughput technologies, the (effective and safe) use of artificial intelligence in computational personalized medicine, for example for optimizing therapy strategies and selecting treatment options, and the development and implementation of mathematical and computational techniques that serve the purposes of modern biomedicine.
We are currently seeking a motivated PhD student to join our group. By rank, the position is classified as a German Scientific Assistant, with salaries being determined based on prior experience and qualifications ('E13 TV-L'). Working language is English or German, depending on personal preference.
The corresponding research activities will relate to topics from areas such as "Artificial Intelligence in Biomedicine/
Computational Personalized Medicine/Algorithmic Bioinformatics/Computational (Single Cell/Pan-) Genomics".
Particular examples of potential research are:
Deep Learning for understanding/diagnosis/therapy selection of so far insufficiently understood diseases, such as cancer, amyotrophic lateral sclerosis, and further neuropathological disorders, in particular when relating to the microbiome
the creation and implementation of programming frameworks that support the analysis of the genetic diversity of diseases
the evaluation of single cell genomics experiments, as a precision tool to support the fine-grained understanding of cancer heterogeneity and cancer in general, and developmental processes that, for example, characterize the shaping of the immune system, possibly in interaction with the two points from above
the creation and analysis of novel algorithmic/mathematical structures and indexes that support the mapping of the genetic diversity of entire populations ("Computational Pan-Genomics")
Research and publication activities will cover 75% of worktime, assistance and guidance of teaching activities 20% and participation in academic management 5%.
The exact choice of topic can be determined in personal discussions, according to personal preferences and strengths.
Master degree above average (at least 2,0) on closely related topics
interest and enthusiasm for computer science/mathematics when applied for driving issues in biomedicine
interest in research activities that optimally lead to the degree of PhD
good knowledge of the English language
good communication skills and interest in interdisciplinary collaboration
good knowledge of programming languages, and/or the talent and willingness to learn new programming languages
prior knowledge about one of the research topics listed above (such as, for example, artificial intelligence/big data analytics, computational genomics/genetics, algorithms, bioinformatics)
personal motivation and fascination for one or several of the topics from above
Salary will be paid according to Remuneration level 13 of the Wage Agreement for Public Service in the Federal States (TV-L). As stipulated in § 2 (1) sentences 1 of the WissZeitVG (fixed-term employment), the contract will end after four years. In accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases. The employment is designed to encourage further academic qualification. In principle, this full-time position may be changed into a part-time position, as long as this does not conflict with official needs.
Bielefeld University is particularly committed to equal opportunities and the career development of its employees. It offers attractive internal and external training and further training programs. Employees have the opportunity to use a variety of health, counselling, and prevention programs. Bielefeld University places great importance on a work-family balance for all its employees.
For full consideration, your application should be received via either post (see postal address below) or e-mail (a single PDF) document sent to email@example.com by the 9th of December 2019. Please mark your application with the identification code wiss19232. Please do not use application portfolios and send only photocopies of original documents because all application materials will be destroyed at the end of the selection procedure. Further information on Bielefeld University can be found on our homepage at www.uni-bielefeld.de. Please note that the possibility of privacy breaches and unauthorized access by third parties cannot be excluded when communicating via unencrypted e-mail. Information on the processing of personal data is available
– Dekanat –
Frau Anika Gorges
P.O. Box: 10 01 31
Name: Prof. Dr. Alexander Schönhuth
Mobile: +49 176 22058304
Bielefeld University has received a number of awards for its achievements as an equal-opportunity employer and has been recognized as a family-friendly university. The university welcomes applications from women. This is particularly true with regard both to academic and technical posts as well as positions in information technology as well as the skilled crafts and trades. Applications are handled according to the provisions of the state statutes on equal opportunity. Applications from suitably qualified handicapped and severely handicapped persons are explicitly encouraged.
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