PostDoc Position in Statistics at TU Munich

We are recruiting for the position of a

PostDoc / Senior Researcher (f/m/d)

starting from October 2021 or later for an initial duration of 2 years with the option to extend the contract for up to 3 further years. The salary is in accordance with the German public service salary scale (E13 TV-L) at 100% of the regular working hours.

The offered position will be in the research group for Mathematical Statistics in the Department of Mathematics at the Technical University of Munich (TUM) and part of MaRDI (Mathematical Research Data Initiative). MaRDI aims to set standards for certified mathematical research data, the design of confirmable workflows, and it provides services for the scientific community. MaRDI is part of the German Research Data Infrastructure initiative (NFDI programme). The position will be part of the Task Area "Statistics and Machine Learning”, which is represented at TUM by Prof. Mathias Drton and Dr. Stephan Haug. Particular tasks within the Task Area will be the design, implementation, population and management of a library of curated benchmark datasets and statistical analyses. Within the project, the guiding use cases will be from the field of unsupervised model selection in graphical modelling.

Qualifications and Skills:

- an excellent completed PhD and Master degree in Statistics, Data Science or a related field

- publications of research results in renowned, peer-reviewed journals/conferences

- proven software engineering skills, preferably in R

- fluency in English

The candidate should be highly self-motivated, be interested in tackling challenging research problems, have organisational skills, be open minded, and have scientific leadership potential.

How to apply:

Applications should be sent as a single PDF file to Andrea Grant using subject: "MaRDI Application". The file should include:

- brief statement on the applicant's interests and experience,

- CV (including candidate's birth date and the contact info of two academic references),

- university transcripts.

Applications will be reviewed as they are received and the review will continue until the position is filled.

As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university's research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.

Data Protection: With your application for a position at the Technical University of Munich you naturally send us personal data. Please observe our data protection information in accordance with Article 13 of the German Data Protection Law (DSGVO) under regarding the storage and usage of your personal data as submitted in connection with your application. By sending your application, you confirm that you acknowledge the data protection information of TUM

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