Stellenangebot
Research fellow (m/f/d) with expected full-time employment - E 13 TV-L HU (third party funding limited to 3 years)
Research fellow (m/f/d) with expected full-time employment - E 13 TV-L
HU (third party funding limited to 3 years), to be filled as a
qualification position as a PostDoc or for doctoral studies
The Chair of Statistics at Humboldt-Universität zu Berlin is looking for a research fellow within the project "Statistical modelling using mouse movements to model measurement errors and improve data quality in web surveys" funded by the German Research Foundation. This collaborative project with the Ludwig-Maximilians-University of Munich (Prof. Dr. Frauke Kreuter) develops statistical and machine learning methods for the use of paradata (mouse movements, clicks, etc.) to improve data quality in web surveys.
Job description:
Requirements:
We offer integration into a lively and interdisciplinary team, family-friendly working hours and an excellent research environment. We support career development through opportunities for further training and mentoring. There is the possibility of association with the interdisciplinary research unit FOR 5363 "DeSBi - Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data" (Spokesperson: Prof. Dr. Sonja Greven).
More information on the project can be found at
https://www.wiwi.hu-berlin.de/en/Professorships/vwl/statistik/news/2nd-fundi....
Application
Please send your application (including cover letter, CV, relevant certificates and grades as well as contact details of two academic references), quoting the reference number DR/ 133/23 preferably by e-mail in a PDF file (not larger than 10 MB) until 06 December 23 to stat@wiwi.hu-berlin.de with CC to sonja.greven@hu-berlin.de or by post to Humboldt-Universität zu Berlin, School of Business and Economics, Chair of Statistics, Prof. Dr. Sonja Greven, Unter den Linden 6, 10099 Berlin.
The Humboldt-Universität zu Berlin 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 a history of immigration are specifically encouraged to apply. Since we will not return your documents, please only submit copies in the application.
Information pursuant to Art. 12, 13 DSGVO on the processing of personal data at Humboldt-Universität zu Berlin within the framework of job advertisements can be found on our website: https://hu.berlin/DSGVO.
Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.
The Chair of Statistics at Humboldt-Universität zu Berlin is looking for a research fellow within the project "Statistical modelling using mouse movements to model measurement errors and improve data quality in web surveys" funded by the German Research Foundation. This collaborative project with the Ludwig-Maximilians-University of Munich (Prof. Dr. Frauke Kreuter) develops statistical and machine learning methods for the use of paradata (mouse movements, clicks, etc.) to improve data quality in web surveys.
Job description:
- Scientific research in the third-party funded project '"Statistical modelling using mouse movements to model measurement errors and improve data quality in web surveys"
- Development of statistical and machine learning methods for the use of paradata
- Collaboration with project participants at the Ludwig-Maximilians-University Munich
- Scientific dissemination of the project results
- Assignments for the own scientific qualification
Requirements:
- Completed academic degree in statistics, mathematics, data science or a related field with statistical methodological focus. PhD desirable, the possibility of a doctorate is also given.
- Ability to develop statistical and machine learning methods as well as for interdisciplinary cooperation
- Strong teamwork and communication skills
- Very good command of written and spoken English
- Solid command of programming languages (preferably R and Python)
We offer integration into a lively and interdisciplinary team, family-friendly working hours and an excellent research environment. We support career development through opportunities for further training and mentoring. There is the possibility of association with the interdisciplinary research unit FOR 5363 "DeSBi - Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data" (Spokesperson: Prof. Dr. Sonja Greven).
More information on the project can be found at
https://www.wiwi.hu-berlin.de/en/Professorships/vwl/statistik/news/2nd-fundi....
Application
Please send your application (including cover letter, CV, relevant certificates and grades as well as contact details of two academic references), quoting the reference number DR/ 133/23 preferably by e-mail in a PDF file (not larger than 10 MB) until 06 December 23 to stat@wiwi.hu-berlin.de with CC to sonja.greven@hu-berlin.de or by post to Humboldt-Universität zu Berlin, School of Business and Economics, Chair of Statistics, Prof. Dr. Sonja Greven, Unter den Linden 6, 10099 Berlin.
The Humboldt-Universität zu Berlin 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 a history of immigration are specifically encouraged to apply. Since we will not return your documents, please only submit copies in the application.
Information pursuant to Art. 12, 13 DSGVO on the processing of personal data at Humboldt-Universität zu Berlin within the framework of job advertisements can be found on our website: https://hu.berlin/DSGVO.
Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.