Postdoctoral research fellow in Statistics at the Humboldt University of Berlin

The International Society for Bayesian Analysis; Berlin; Vor Ort; EUR 40.000 - 55.000; Vollzeit

Zusammenfassung

A leading research institution in Berlin is seeking a Postdoctoral Research Fellow in Statistics to contribute to innovative research in Bayesian statistical learning approaches. The role requires an outstanding PhD in Statistics or Mathematics and a strong background in computational methods. This full-time position is associated with international collaborations and offers opportunities for career development and own scientific qualification. Applications should be submitted in PDF format and include a CV, motivational statement, and references.

Qualifikationen

• Outstanding PhD in Statistics, Mathematics, or related field specializing in Statistics, Data Science or Mathematics.
• Strong background in computational methods, Bayesian statistics, or statistical learning.
• Substantial experience in scientific programming.
• Very good communication skills and proficiency in English.

Aufgaben

• Contribute to research on Bayesian statistical learning approaches.
• Develop statistical methodology for applications in various fields.
• Collaborate with international experts and researchers.

Kenntnisse

Computational methods

Bayesian statistics

Variational inference

Statistical learning

High-dimensional regression modelling

Mathematical statistics

Scientific programming with Matlab

Scientific programming with Python

Scientific programming with C/C++

Scientific programming with R

Communication skills

Teamwork

Proficiency in English

Ausbildung

PhD in Statistics, Mathematics, or related field

Jobbeschreibung

Postdoctoral research fellow in Statistics at the Humboldt University of Berlin

Jan 8, 2020

Overview

The working group of Statistics at Humboldt University of Berlin invites applications for:

• Postdoctoral research fellow (full-time employment, 3 years with extension possible)

Responsibilities

To contribute to the research on mathematical and statistical aspects of Bayesian statistical learning approaches and novel methods towards high-dimensional distributional models. The research positions are associated with the Emmy Noether group Regression Models beyond the Mean – A Bayesian Approach to Machine Learning and the Working group of Applied Statistics at the School of Business and Economics at Humboldt-Universität Berlin. Opportunities for own scientific qualification (PhD) and career development are provided. See the following page for an overview and further links: https://www.wiwi.hu-berlin.de/en/academic-career/academic-career?set_language=en. The positions are to be funded by the German Research Foundation (DFG) within the Emmy Noether programme and filled at the earliest possible date.

Requirements

• An outstanding PhD in Statistics, Mathematics, or related field with specialization in Statistics, Data Science or Mathematics.
• A strong background in at least one of the following fields: computational methods, Bayesian statistics, variational inference, statistical learning, high-dimensional regression modelling, mathematical statistics.
• A thorough mathematical understanding.
• Substantial experience in scientific programming with Matlab, Python, C/C++, R or similar.
• Strong interest in developing novel statistical methodology and its applications in economics or natural and life sciences.
• Very good communication skills and teamwork; proficiency in written and spoken English (German is not obligatory).

Opportunities

We offer the unique environment of young researchers and leading international experts in the field. The vibrant international network includes established collaborations in Singapore and Australia. The positions offer potential to closely work with several applied sciences. Information about the research profile of the group and further contact details can be found at: https://hu.berlin/ENG-StatML. The positions are paid according to the Civil Service rates of the German States TV-L, E13 (if suitably qualified).

Applications should include

• A CV with list of publications
• A motivational statement (at most one page) explaining the applicant’s interest in the announced position as well as their relevant skills and experience
• Copies of degrees/university transcripts
• Names and email addresses of at least two professors who may provide letters of recommendation directly to the hiring committee

Applications should be sent as a single PDF file to: Prof. Dr. Nadja Klein (nadja.klein[at]hu-berlin.de), who you may also contact for questions concerning this job post. Please indicate “Research Position Emmy Noether”.

Application deadline: 31st of January 2020

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.