Stellenangebot

PhD Position / Promotionsstelle für internationales DFG-Projekt "Graphische Neuronale Netze" (Universität Hamburg)

Research Associate for the Project “Graphic Neuronal Nets for Economic Appliances”

Institution: Institute of Statistics, Faculty of Business Administration
Salary level: E 13
Start date: 01.09.2021 or later
End of employment period: 31.08.2024
Application deadline: 15.06.2021
Weekly hours: 29,25 weekly hours (75%)

Responsibilities
Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.

Specific Duties
Specific duties include collaboration for a DFG financed, international research project about graphic neuronal nets. The project will be operated together with the Skolkovo Institute of Technology (Russia). The duties contain data processing, development and implementation of neuronal nets for network and detection of anomalies and the preparation of documentations and teaching materials. Publications in international leading journals and presentations at international conferences will be aspired. Furthermore the possibility for research stays abroad and collecing teaching experience is given.

Requirements
A university degree in a relevant field. We are especially looking for graduates with a degree in quantitative fields of studies (Mathematics, Statistics, Computer Science, Economics with quantitative focus and comparable fields of studies) with an outstanding final degree. Outstanding knowledge in (statistical) programming (Python and R) will be expected. Experience, knowledge or interest in the area of neuronal nets, deep learning, machine learning and data analysis will be requested.

As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.

Qualified disabled candidates or applicants with equivalent status receive preference in the application process.

Contact 1
Prof. Dr. Martin Spindler
Tel.: 040 42838 1544
Email: martin.spindler@uni-hamburg.de

Location
Moorweidenstraße 18, 20148 Hamburg

Applications should include a cover letter, a tabular curriculum vitae, and copies of degree certificate(s). Please send applications by email to:

University of Hamburg, Prof. Dr. Martin Spindler, Institute of Statistics, Faculty of Business Administration, Moorweidenstraße 18, 20148 Hamburg

E-Mail: martin.spindler@uni-hamburg.de

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