Open position as Postdoctoral Researcher in Bayesian statistical learning and spatial regressio[...]

The International Society for Bayesian Analysis; Berlin; Vor Ort; EUR 48.000 - 55.000; Vollzeit

Zusammenfassung

The International Society for Bayesian Analysis is inviting applications for a full-time Postdoctoral Researcher position at Humboldt-Universität Berlin. The role focuses on Bayesian statistical learning and high-dimensional spatial clustering, offering an opportunity to collaborate with leading experts and develop your scientific career. Candidates must hold a relevant PhD and demonstrate strong skills in Bayesian methods and programming languages such as R and Python. This is a unique opportunity to be part of an international research team.

Leistungen

Unique research environment

Opportunities for scientific qualification

Collaboration with international teams

Qualifikationen

• Completed Master and PhD with good marks in relevant fields.
• Strong background in Bayesian computational methods and related areas.
• Experience in scientific programming and good communication skills.

Aufgaben

• Contribute to research in Bayesian learning and spatial regression.
• Work with the Emmy Noether group funded by DFG.
• Engage in scientific qualification and career development opportunities.

Kenntnisse

Bayesian computational methods

Spatial models and inference

Variational inference

Density regression

Scientific programming

Communication skills

Team experience

Proficiency in English

Ausbildung

PhD in Statistics, Mathematics or related field

Master's degree in Statistics, Mathematics or related field

Tools

R

Matlab

Python

C/C++

Jobbeschreibung

Open position as Postdoctoral Researcher in Bayesian statistical learning and spatial regression at HU Berlin

Feb 2, 2022

Postdoctoral Research fellow with full-time employment – E 13 TV-L HU (third-party funding, limited 12 months but extension possible)

* Job description: The working group of Statistics and Data Science at Humboldt-Universität Berlin invites applications for a position to contribute to the research on statistical aspects of Bayesian learning and novel methods towards high-dimensional spatial clustering models. The position can be associated with Prof. Klein’s Emmy Noether group funded by the German Research foundation (DFG). Opportunities for own scientific qualification (career development) are provided, see: https://www.wiwi.hu-berlin.de/en/academic- career/academic-career?set_language=en

* Requirements: Completed Master and PhD (preferably with very good marks) in Statistics, Mathematics, or related field with specialisation in Statistics, Data Science or Mathematics; a strong background in the following fields: Bayesian computational methods, spatial models and inference therein, variational inference, density regression. Furthermore, a thorough mathematical understanding; substantial experience in scientific programming with R, Matlab, Python, C/C++ or similar; very good communication skills and team experience, proficiency of the written and spoken English language (German is not obligatory)

* We offer the unique environment of researchers and leading international experts in the fields. The vibrant international network includes established collaborations in Singapore and Australia. The position offer potential to closely work with several applied sciences. Information about the research profile of the research group and further contact details can be found through the following link:
https://www.wiwi.hu- berlin.de/en/Professorships/vwl/statistik/Emmy-Noether

* Please send your application (including a CV with list of publications, a motivational statement (at most one page) explaining the applicant’s interest in the position as well as their relevant skills and experience, copies of degrees/university transcripts, names and email addresses of at least two professors that may provide letters of recommendation directly to the hiring committee) within 4 weeks, to the Humboldt-Universität zu Berlin, School of Business and Economics, Prof. Dr. Nadja Klein, Unter den Linden 6, 10099 Berlin or preferably as a single PDF file to [e-mail].

* For further information please contact the project leader Prof. Dr. Nadja Klein ([e-mail]).

* 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.