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 interpretable machine learning and statistical inference in the framework of project R4-1: Statistical inference for machine learning model interpretation.
Supervised machine learning algorithms perform well in terms of predictions but often lack interpretability due to their black-box nature and utility to cover complex dependencies and interactions. In project R4-1 we will work on model-agnostic machine learning interpretation methods and aim to enrich the literature by statistical inference methodology (i.e. frequentist confidence bands and hypothesis tests and their Bayesian counterparts) going beyond the current focus on descriptive numbers and graphs.
We are searching for an enthusiastic and committed researcher with an interest in interpretable machine learning as well as the development and investigation of statistical inference methods for machine learning. Within the research training group, the Ph.D. student will be part of the Biometrie & Applied Statistics group at the Faculty 03 and the Competence Center of Clinical Trials Bremen, working under the supervision of Prof. Werner Brannath.
- M.Sc. or equivalent degree with excellent grades in mathematical sciences or related fields.
- Skills in scientific computer programming.
- Experience in statistical machine learning and statistical inference 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 R4-1, 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. Werner Brannath
Competence Center for Clinical Trials Bremen
brannathprotect 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