GIP members may publish job advertisements in the field of Inverse Problems here by writing an email to email@example.com.
Postdoc Position at Univ. Göttingen
The Institute for Numerical and Applied Mathematics at the Georg-August-Universität Göttingen is looking to fill a postdoctoral position in Inverse Problems (all genders welcome) in the research group of Prof. Thorsten Hohage. The successful candidate may profit from several other research groups working on Inverse Problems on the Göttingen Campus, in particular within the Collaborative Research Center 1456 “Mathematics of experiment: The challenge of indirect observations in the natural sciences” and the Research Training Group 2088 “Discovering structure in complex data: Statistics meets optimization and Inverse Problems”.
The position should be filled by March 1, 2021. The initial contract will be for a period of 2 years. The offered position is a full-time position with 39.8 working hours per week. Remuneration is according to the German public salary scale TV-L E13.
• conduct independent research on Inverse Problems
• serve as teaching assistant for lectures such as numerical analysis, functional analysis or optimization
• PhD in mathematics or related fields
• research experience in inverse problems
• scientific creativity shown by a track record of original and innovative research
• good proficiency in English
• proficiency in German or willingness to learn (Part of the teaching is in German.)
For more information see https://www.uni-goettingen.de/de/305402.html?cid=100791
Application deadline: January 21, 2021.
Project Assistent without doctorate (PhD position) at Univ. Graz
The Institute of Mathematics and Scientific Computing at the University of Graz is looking for a Project Assistent without doctorate (PhD position) (30 hours a week; fixed-term employment for the period of 3 years; position to be filled as soon as possible)
The position is part of a research project on machine learning approaches for data-driven cardiopulmonary resuscitation. The project will be realized in close collaboration with the University Hospital Graz, and aims at a better understanding of the physiological conditions of patients during such interventions. To achieve this, we will develop parameter identification techniques for differential-equation-based physiological models as well as machine learning approaches, both of which can build on a unique data set of vital measurements available at he University Hospital Graz.
Applicants are expected to have a Master‘s degree in Mathematics, Computer Science or a related field, solid knowledge in applied mathematics and good programming knowledge, ideally in Python.
The position comes with the possibility to work on a relevant dissertation and the classification of this position according to the University Collective Agreement is B1.
More details can be found at https://jobs.uni-graz.at/en/MB/203-1/99/6536
Application Deadline: January 13th 2021.
12 PhD positions in Göttingen
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. 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), about 12 of which are related to Inverse Problems.
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/crc1456. 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.