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Research Assistant (f/m/d)
☞ Georg-August-Universität Göttingen
Ver: 168
Día de actualización: 22-10-2024
Ubicación: Göttingen Lower Saxony
Categoría: Tecnologías de la información
Industria:
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Contenido de trabajo
Einrichtung: Chair of Spatial Data Science and Statistical Learning (ID 100961)
Ansprechpartner: Elisabeth Bergherr
Besetzungsdatum: 01.02.2022
Veröffentlichungsdatum: 04.11.2021
The Faculty of Business and Economics at the Georg-August-Universität Göttingen is looking to fill the position of a
Research Assistant (f/m/d)
at the Chair for Spatial Data Science and Statistical Learning with 75% of the regular working hours (currently 29,85 hours per week), with a limited contract of 3 years. This position should be filled by 01/02/2022. Salary: Pay grade 13 TV-L.
Your duties
Your profile
This post is designed to give the successful applicant the opportunity to pursue a doctoral degree.
The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.
We look forward to your detailed application with the usual documents latest by 25/11/2021 via the online application portal athttps://lotus2.gwdg.de/uni/uzdv/perso/knr_100961.nsf
If you have any questions, please contact Elisabeth Bergherr, phone: +49 551 3927105, e-mail: elisabeth.bergherr@uni-goettingen.de.
Please note:
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)
Research Assistant (f/m/d)
at the Chair for Spatial Data Science and Statistical Learning with 75% of the regular working hours (currently 29,85 hours per week), with a limited contract of 3 years. This position should be filled by 01/02/2022. Salary: Pay grade 13 TV-L.
Your duties
- You will teach courses as defined in Section 31 of the Higher Education Act of Lower Saxony (NHG) and Administer examinations
- Work on the research area of statistical methods development.
Your profile
- You hold a highly qualified Master in Statistics, Mathematics, Computer Science or a related field
- You have a basic knowledge in Bayesian inference and/or statistical learning
- You have programming skills in R or similar programming language
- You are interested in research and teaching
- You are fluent in English
This post is designed to give the successful applicant the opportunity to pursue a doctoral degree.
The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.
We look forward to your detailed application with the usual documents latest by 25/11/2021 via the online application portal athttps://lotus2.gwdg.de/uni/uzdv/perso/knr_100961.nsf
If you have any questions, please contact Elisabeth Bergherr, phone: +49 551 3927105, e-mail: elisabeth.bergherr@uni-goettingen.de.
Please note:
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)
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Plazo: 06-12-2024
Haga clic para postularse como candidato gratuito
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