[Dbworld] Professorship in ?Large Scale Data Analytics and Machine Learning?

Professor in »Large Scale Data Analytics and Machine Learning«

The Technical University of Munich (TUM) invites applications for the position of Professor in »Large Scale Data Analytics and Machine Learning« W2 Tenure Track Assistant Professor (with tenure track option to W3) or W3 Associate/Full Professor; to begin in winter term 2017.

Scientific environment

The professorship belongs to the TUM Department of Informatics and will be part of the department’s competence area Big Data. To further enhance the profile of this competence area TUM is establishing the professorship endowed by Allianz SE. The collocated Leibniz Supercomputer Center of the Bavarian Academy of Sciences and Humanities offers interesting cooperation opportunities and an outstanding compute infrastructure.

Responsibilities

The responsibilities of TUM professors include research, teaching and the promotion of early-career scientists. We seek to appoint an expert in the research area of large scale data analytics and machine learning, with emphasis on e.g. statistical methods, optimization, and image analysis, who is capable to develop TUM’s scientific profile innovatively in this area. Teaching duties include courses in the university’s bachelor and master programs, explicitly in the master program “Data Engineering and Analytics”.

Qualifications

We are looking for a candidate with an outstanding doctoral degree or equivalent scientific qualification, who has demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment, regarding the relevant career level.

International scientific experience during the doctoral or postdoctoral phase is expected. The successful candidate shows pedagogical aptitude, including the ability to teach in English.

Efficient and scalable data analysis techniques originating from machine learning are necessary for Big Data applications in areas such as image and sensor analysis. Eligible candidates have to demonstrate the ability to address discipline-bridging questions and to collaborate with partners in industry and academia.

Our Offer

Based on best international standards and transparent performance criteria, TUM offers a merit-based academic career option for tenure track faculty from Assistant Professor through a permanent position as Associate Professor and on to Full Professor.

TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment of the Greater Munich Area. The TUM Munich Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors. MDCO gives assistance for relocation and integration of new professors, their partners and accompanying family members.

Your Application

TUM is an equality action employer. As such, we explicitly encourage applications from women. Applications from disabled persons with essentially the same qualifications will be given preference.

Application documents should be presented in accordance with TUM’s application guidelines for professors. These guidelines and detailed information about the TUM Appointment and Career System are available on http://www.tum.de/faculty-recruiting.

Please send your application no later than February 26, 2017 to the Dean of the Department of Informatics, Prof. Dr. Hans-Joachim Bungartz, TU München, Institut für Informatik DEK-IN, Boltzmannstr. 3, D-85748 Garching, Email: [email protected]

Contact: [email protected]
_______________________________________________
Please do not post msgs that are not relevant to the database community at large.  Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld