The RTG π3 is a collaborative project between mathematicians of the Center for Industrial Mathematics (ZeTeM); mathematicians in analysis, topology, and statistics; and applied scientists of the University of Bremen. We invite applications for a Ph.D. position (75% of a full position) in the area of simultaneous statistical inference for high-dimensional data in the framework of project R4-2: Structural statistical inference for signal detection in high-dimensional data with applications to functional magnetic resonance imaging (fMRI).
Data generated by modern high-throughput technologies require specialized methods for statistical analysis. We will work out multiple tests which take into account structural properties of the sample and/or the parameter space, with the goal of optimizing the statistical power for discovering signals. The theoretically derived methods will be applied to fMRI data, where the observational units are volume elements (voxels) of the human brain, but the scientific questions typically relate to groups of voxels, called regions. This induces a structure that can be exploited when deriving multiple tests for the detection of activated regions during a task.
We are searching for an enthusiastic and committed researcher with an interest in the mathematical development of novel multiple tests, their implementation, and their application to real fMRI data. Within the research training group, the Ph.D. student will be part of the Mathematical Statistics group at Faculty 03 of the University of Bremen, working under the supervision of Prof. Thorsten Dickhaus.
- M.Sc. or equivalent degree with excellent grades in mathematical sciences or related fields.
- Skills in scientific computer programming.
- Experience in statistics for high-dimensional data is advantageous.
- Industry or research internships are advantageous.
- Fluency in English.
- Desire to work in an international and interdisciplinary team.
The position is for a fixed term of 3 years. The earliest starting date for each position in the research training group is 1 October 2022. The salary is according to the German federal employee scale TV-L E13, 75% of a full position (i.e., approximately € 1.900 – 2.100 monthly net income). This call is open until all positions are filled.
Applicants are invited to submit their letter of motivation including a reference to Ph.D. project R4-2, an extended CV including copies of certificates, a publication list (as far as applicable), one recommendation letter from a math professor, and contact information of two more scientists as possible referees.
The recommendation letter should be sent by the math professor directly to us (pi3-applicationprotect me ?!mathprotect me ?!.uni- bremen.de), while the application file should only include her/his name and affiliation.
All relevant documents, quoting the official reference number A 106/22, should be submitted by April 25, 2022,
– preferably electronically as a single PDF file to pi3-applicationprotect me ?!math.uni-bremenprotect me ?!.de – to the π3-coordination: Dr. Daniel Otero Baguer, Zentrum für Technomathematik, Universität Bremen, Bibliothekstr. 5, 28359 Bremen.
The University of Bremen has received a number of awards for its gender and diversity policies and is particularly aiming to increase the number of female researchers. Gender equality will be given special emphasis within this research training group. Applications from female candidates, international applications, and applications of academics with a migrant background are explicitly welcome.
Disabled persons with the same professional and personal qualifications will be given preference.
Further inquiries for this position may be addressed to:
Prof. Thorsten Dickhaus
Institute for Statistics
dickhausprotect me ?!uni-bremenprotect me ?!.de
Applications may be addressed to:
Dr. Daniel Otero Baguer
Zentrum für Technomathematik
pi3-applicationprotect me ?!math.uni-bremenprotect me ?!.de