27 PhD candidates (f/m/d)
Einrichtung: Collaborative Research Center (CRC) 1456 Mathematics of Experiment (ID 100769)
The Collaborative Research Center (CRC) 1456 Mathematics of Experiment: The challenge of indirect measurements in the natural sciences at the University of Göttingen will start on January 1, 2021, subject to financial approval by the DFG at the end of November 2020. Therefore, the Universities of Göttingen and Jena and the Max Planck Institutes for Biophysical Chemistry and Solar System Research offer positions for
27 PhD candidates (f/m/d).
These positions should be filled in the beginning of 2021. The salary is in accordance with the German public service salary scale (E13 TV-L) for three years. 25 positions are offered with 75% of the regular working hours, one in computer science with 100% of the regular working hours and one in neuroscience with 65% of the regular working hours.
The aim of the CRC 1456 is to develop mathematical data analysis for the natural sciences, i.e., mathematical theory and tools to efficiently extract maximal quantitative information from experimental data. As new measurement techniques and instruments keep being devised and improved for inexpensive and efficient data acquisition, the current bottleneck is how to extract meaningful information from the resulting vast amounts of such measurements. Typical reasons are that modern measurement technologies often provide such information only in an indirect manner and that the observational data are strongly corrupted by noise and often generated in an inherently random way. These challenges will be addressed in 16 projects which are all lead jointly by a mathematician and an experimental scientist.
- You hold an excellent M.Sc. degree (or equivalent) in mathematics / related field or a natural science in a field represented in this CRC.
- As a mathematician, you have a strong interest in areas such as inverse problems, mathematical statistics, optimization, differential equations, stochastic processes, scientific computing, machine learning or mathematical data analysis, and you like to work with real data.
As a natural scientist, you have a background in biophysics, physical chemistry, biochemistry, structural biology, neuroscience, condensed matter physics, astrophysics, computational physics or biomedical imaging and experience with computational data analysis.
- You like to work in an interdisciplinary team.
- You are fully proficient in written and spoken English.
The institutions mentioned above are equal opportunities employers and place particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. We have committed ourselves to being family-friendly institutions and support our employees in balancing work and family life. We are committed to employing a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.
More information on the individual projects and the positions can be found at https://www.uni-goettingen.de/en/628179.html. In a project-specific motivation letter, please indicate which projects and positions you are interested in.
Your application including also a curriculum vitae, copies of your certificates and contact information of at least two reference persons should be submitted to the online application platform https://lotus2.gwdg.de/uni/uzdv/perso/knr_100769.nsf.
If you have any questions, please contact us via e-mail: firstname.lastname@example.org.
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