Auf einen Blick
- Aufgaben: Lead research in computational statistics and teach Bachelor's and Master's courses.
- Arbeitgeber: Join the University of Göttingen, a prestigious institution known for its research-oriented teaching.
- Mitarbeitervorteile: Enjoy civil servant status, family-friendly policies, and support for work-life balance.
- Warum dieser Job: Make an impact in cutting-edge statistical research while shaping future statisticians.
- Gewünschte Qualifikationen: PhD in a relevant field with a focus on computational statistics required.
- Andere Informationen: Applications from women and disabled individuals are especially encouraged.
Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € pro Jahr.
W1 Professorship in Computational Statistics (f/m/d)
The Faculty of Business and Economics at the University of Göttingen invites applications for a temporary professorship with civil servant status (grade W1 NBesO) effective on April 1, 2025:
Position: W1 Professorship in Computational Statistics (f/m/d)
The professorship will be awarded with civil servant status for a period of three years. After a positive evaluation, the employment contract will be extended for another three years.
We are looking for team-oriented and committed applicants with the potential for outstanding publications on computational statistics. The position holder will focus on research questions related to method development. Areas of specialisation could include (approximate) Bayesian inference, causal inference, missing values, statistical learning methods, the statistical foundations of machine learning, semiparametric regression, multivariate statistics, or other computationally intensive areas of statistics. The post holder will participate in relevant collaborative initiatives of the faculty and the university, particularly in the activities of the Campus Institute Data Science (CIDAS).
The post holder is expected to be involved in teaching in the Faculty’s Bachelor’s and Master’s degree programmes, especially the Master’s degree programme in Applied Statistics. The University of Göttingen attaches importance to research-oriented teaching.
Appointment requirements are stipulated by Article 30 of the Lower Saxony Higher Education Act in the most current version of that law. Details will be provided upon request.
Applications from abroad are explicitly welcome. The University of Göttingen strives to increase the proportion of women in areas where women are underrepresented and therefore explicitly invites qualified female scholars to apply. The University has committed itself to being a family-friendly institution and supports its employees in balancing work and family life. The University is particularly committed to the professional participation of disabled employees and therefore welcomes applications from persons with disabilities. In the case of equivalent qualifications, applications from disabled persons will be given preference. In order for the University to be able to protect the interests of the applicant, information about a disability or equal status should be included in the application.
Applications should include the usual documents (CV, list of publications, etc.). Please send your application as a single PDF file to the Dean’s Office of the Faculty of Business and Economics at no later than January 9, 2025.
If you have further questions, please contact the Dean of the Faculty of Business and Economics: .
The submission of the application constitutes consent under the data protection law and allows us to process your application data. For more details on the legal basis and data use, please refer to the information sheet on the General Data Protection Regulation (GDPR).
Please note that only the German version of this job announcement is legally binding.
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W1 Professorship in Computational Statistics (f/m/d) Arbeitgeber: Economicsnetwork
Kontaktperson:
Economicsnetwork HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: W1 Professorship in Computational Statistics (f/m/d)
✨Tip Nummer 1
Nutze dein Netzwerk! Sprich mit Kollegen oder Professoren, die bereits in der Computational Statistics tätig sind. Sie können dir wertvolle Einblicke geben und möglicherweise sogar Empfehlungen aussprechen.
✨Tip Nummer 2
Engagiere dich in Forschungsprojekten oder Initiativen, die sich mit den Themen der Professur befassen. Zeige deine Leidenschaft für methodische Entwicklungen und baue relevante Erfahrungen auf, die dich von anderen Bewerbern abheben.
✨Tip Nummer 3
Bereite dich darauf vor, über deine Lehrmethoden zu sprechen. Da die Universität Wert auf forschungsorientierte Lehre legt, solltest du Beispiele für innovative Lehransätze oder Projekte parat haben, die du in deinen zukünftigen Kursen umsetzen möchtest.
✨Tip Nummer 4
Informiere dich über die Campus Institute Data Science (CIDAS) und deren aktuelle Projekte. Eine gute Kenntnis dieser Initiativen zeigt dein Interesse an interdisziplinärer Zusammenarbeit und kann dir helfen, dich als idealen Kandidaten zu positionieren.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: W1 Professorship in Computational Statistics (f/m/d)
Tipps für deine Bewerbung 🫡
Research the University of Göttingen: Familiarize yourself with the University of Göttingen, its Faculty of Business and Economics, and their research focus areas. Understanding their values and initiatives, especially regarding data science and teaching, will help you tailor your application.
Prepare Your Application Documents: Gather all necessary documents including your CV, a comprehensive list of publications, and any other relevant materials. Ensure that your documents highlight your expertise in computational statistics and your teaching experience.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your research interests, teaching philosophy, and how you can contribute to the faculty and the Campus Institute Data Science (CIDAS). Make sure to express your commitment to research-oriented teaching.
Submit Your Application on Time: Ensure that you submit your complete application as a single PDF file to the Dean’s Office by the deadline of January 9, 2025. Double-check that all documents are included and formatted correctly before submission.
Wie du dich auf ein Vorstellungsgespräch bei Economicsnetwork vorbereitest
✨Research the University and Faculty
Before your interview, take some time to familiarize yourself with the University of Göttingen and the Faculty of Business and Economics. Understand their research focus, recent publications, and collaborative initiatives like the Campus Institute Data Science (CIDAS). This will help you tailor your responses and show your genuine interest in the position.
✨Prepare for Method Development Questions
Given the emphasis on method development in computational statistics, be ready to discuss your previous work in this area. Prepare examples of your research related to Bayesian inference, causal inference, or statistical learning methods, and be prepared to explain your thought process and methodologies.
✨Highlight Your Teaching Experience
Since the position involves teaching in Bachelor's and Master's programs, be sure to highlight any relevant teaching experience you have. Discuss your teaching philosophy, how you engage students, and any innovative approaches you've used in the classroom to enhance learning.
✨Show Commitment to Diversity and Inclusion
The University of Göttingen values diversity and encourages applications from underrepresented groups. Be prepared to discuss how you can contribute to a diverse academic environment and support initiatives that promote inclusion within the faculty and student body.