PhD Fellowships, Fraunhofer Institute for Intelligent Analysis & Information Systems, Germany (2018)

Data science and machine learning are your major interest? The Fraunhofer-institut for intelligent analysis and information systems IAIS is reaching out to find:

MULTIPLE PhD FELLOWS (F/M) IN MACHINE LEARNING

Fraunhofer is the biggest organization for applied sciences in Europe. In 2017, it was ranked as one of the top three “Most Attractive Employers by Natural Sciences Students”.

In the Fraunhofer-Institute IAIS, more than 250 employees develop customized solutions for the integration and analysis of data for our customers in the industry. The emphasis lays on competencies in the areas of Big Data, Multimedia Content Analytics, Information Integration and Enterprise Modeling and Enterprise Analysis.

In the business area Intelligent Media and Machine Learning within the department Media Engineering of the IAIS, you will be working on conceptualizing and implementing innovative, data driven applications. With us, you can apply your growing scientific and practical knowledge of Data Science and Machine Learning in projects for customers from the industry.

Your tasks include
- Conceptualizing and developing modern Machine Learning methods
- Publications in prestigious Machine Learning journals and on conferences, e. g. JMLR, ICML, NIPS, CVPR, ICDM, DSAA and ICLR
- Participation in the implementation of learning solutions in customer projects for image-, text- or time-series analysis

Desired skills and experience

What we expect from you
- Master’s degree in Informatics, Computer Linguistics, Mathematics, Statistics, Physics or an adjacent academic discipline
- Well acquainted with mathematical methods and data analysis
- Excellent knowledge and abilities in software development, Python knowledge preferable
- Ideally, academic or practical experience in one of the following areas: text analysis, image analysis, behavioral analysis or anomaly detection
- Practical experience or publications in probabilistic models and / or neural networks preferable
- Ideally, additional experience in TensorFlow or Theano and NoSQL data bases, such as MongoDB or CouchDB
- Excellent knowledge of the English language as well as a high level of self-motivation, self-responsibility and performance commitment
- Good knowledge of the German language desirable

Further details:
PhD Fellowships, Fraunhofer Institute for Intelligent Analysis & Information Systems, Germany (2018)