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PostDoc Position (f/m/x)
Universität zu Köln
Köln
Aktualität: 25.04.2024

Anzeigeninhalt:

25.04.2024, Universität zu Köln
Köln
PostDoc Position (f/m/x)
The University-s Information Systems department is wellknown for its reputation. Faculty members have published in Management Science, Marketing Science, MIS Quarterly, and other top-tier journals. Research at the Chair in Business Analytics concerns opportunities and challenges of the digital economy. We use a broad range of methods such as machine learning, Bayesian methods, field experiments, or text mining. YOUR TASKS Engage in current research of the group (research in the context of the digital economy) Contribute to top-tier journal publications Support teaching activities Engage in chair activities YOUR PROFILE Excellent Ph.D. degree in either Information Systems, Computer Science, Psychology, or Marketing Excellent command of English Excellent data analysis skills (e.g., R) Excited about digital business/economy Dedicated towards a scientific career WE OFFER Opportunity to get a habilitation, access to an international network A diverse working environment with equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models Opportunity to work remotely The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz - LGG NRW). We also expressly welcome people with disabilities/-special needs or of equal status. The position is available immediately on a full-time basis (39,83 hours per week). It is limited for 3 years. If the applicant meets the relevant wage requirements and personal qualifications, the salary will be based on remuneration group 13 TV-L of the pay scale for the German public sector. Please apply online with proof of the required qualification without a photo to: https://jobportal.uni-koeln.de. The reference number is Wiss2404-08. The application deadline is 12.05.2024. For further inquiries, please contact Michaela Hufbauer (hufbauer@wiso.uni-koeln.de).
The University-s Information Systems department is wellknown for its reputation. Faculty members have published in Management Science, Marketing Science, MIS Quarterly, and other top-tier journals. Research at the Chair in Business Analytics concerns opportunities and challenges of the digital economy. We use a broad range of methods such as machine learning, Bayesian methods, field experiments, or text mining. YOUR TASKS Engage in current research of the group (research in the context of the digital economy) Contribute to top-tier journal publications Support teaching activities Engage in chair activities YOUR PROFILE Excellent Ph.D. degree in either Information Systems, Computer Science, Psychology, or Marketing Excellent command of English Excellent data analysis skills (e.g., R) Excited about digital business/economy Dedicated towards a scientific career WE OFFER Opportunity to get a habilitation, access to an international network A diverse working environment with equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models Opportunity to work remotely The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz - LGG NRW). We also expressly welcome people with disabilities/-special needs or of equal status. The position is available immediately on a full-time basis (39,83 hours per week). It is limited for 3 years. If the applicant meets the relevant wage requirements and personal qualifications, the salary will be based on remuneration group 13 TV-L of the pay scale for the German public sector. Please apply online with proof of the required qualification without a photo to: https://jobportal.uni-koeln.de. The reference number is Wiss2404-08. The application deadline is 12.05.2024. For further inquiries, please contact Michaela Hufbauer (hufbauer@wiso.uni-koeln.de).

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