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Postdoc Position in Machine Learning (m/f/d)

Salary

50 - 50 EUR

Min Experience

0 years

Location

Hildesheim

JobType

full-time

About the job

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About the role

The following position is to be filled at the Institute of Computer Science, Information Systems and Machine Learning Lab (ISMLL) has a vacancy for a Postdoc Position in Machine Learning (m/f/d) (TV-L E 13,100%). The position is full-time, available to be filled immediately and offers tenures of initially three years with the possibility of an extension by another three years. The salary amounts to TV-L E13 (roughly 50.000 EUR gross income per year). Time-Series Forecasting and Classification, Meta Learning and Hyperparameter Optimization, Relational Learning, Recommender Systems, Deep Learning or any other area of supervised machine learning has been opened. As a postdoc in our international ML research group you conduct research in ML, supervise the research of several PhD students, have the opportunity to cooperate with companies, small and large, as well as with academic partners on real-word ML-related problems, and are encouraged to teach ML courses in our renowned International Master Program in Data Analytics to students from all over the world. You will work in a beautiful town with UNESCO World Heritage Sites, located in the very center of Germany, just 30 km from Hanover and 1.5 hours by high-speed train to Berlin.

About the company

The Information Systems and Machine Learning Lab (ISMLL) at Institute of Computer Science at University of Hildesheim is an international research group on machine learning, especially predictive modelling and probabilistic methods for complex data and complex decisions, with an excellent publication track record (ACM KDD, IEEE ICDM, ECML etc.). ISMLL takes part in basic and applied research projects in various domains such as mobility, e-commerce and technology enhanced learning.

Skills

machine learning
time series forecasting
classification
meta learning
hyperparameter optimization
relational learning
recommender systems
deep learning