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PhD Position in Causal Inference with Deep Learning at Max Planck Institute for Biogeochemistry


Reg. Nr. 337/2019

Fristende: 30.11.2019

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PhD Position in Causal Inference with Deep Learning 

Friedrich Schiller University (FSU)  in Jena together with the Max Planck Institute for Biogeochemistry (MPI BGC) is inviting applications for a PhD position in the field of machine learning. The position is hosted at FSU and jointly supervised by both institutions. We are looking for a highly motivated and creative scientist with strong interests  in deep learning and dynamical systems. This position is focused on using deep learning capabilities to learn the complex causal models in multivariate dynamic systems, e.g. for videos analysis, analysis of the ecosystems and earth observations; the ultimate goal aims at enabling data-driven solutions for improved prediction and attribution of events and changes in these Systems. 

Job description:

This  position is part of  the Graduate School "Virtual Workshop for Digitization in the Sciences",  a project funded by the Carl Zeiss Foundation. The graduate school consists of more than 10 PhD students from various disciplines, ranging from computer science, physics, bioinformatics to medicine, and 3 Postdocs. The successful candidate  will join the Computer Vision Group of FSU - a young and vibrant, international team, actively publishing at major computer vision journals and conferences (e.g. PAMI, CVPR, ECCV, ICCV). We are currently developing several parallel research lines including biomedical image analysis, image understanding,  and semantic segmentation with focus on exploiting and extending deep learning for such areas. Developed methods are applied, for example, in video analysis, environmental systems, image understanding, and life-long learning.  Research in this area also involves projects on fine-grained recognition, active learning and novelty detection, with applications such as activity recognition in video sequences as well as monitoring and event detection in biomedical applications. The Computer Vision Group has strong collaborations with the local research institutes, like the Max-Planck-Institute BGC and the DLR Institute for Data Science. For more details please visit http://www.inf-cv.uni-jena.de/en/research.html.

Qualification requirements:

  • Master degree in computer science, machine learning, applied mathematics,  statistics,   or related disciplines.
  • Strong programming skills in Python, MATLAB or C, C++.
  • Interest in working with environmental data streams.
  • Fluency in written and oral English. German is a plus.

We offer:

  • an exciting field of activity with creative leeway
  • multidisciplinary research environment
  • attractive fringe benefits, e.g. Capital Assets, Job Ticket (benefits for public transport), occupational pensions (VBL)
  •  salary in accordance with the terms of the collective agreement for the public service of the Länder (TV-L) in accordance with personal qualifications
  •  university health promotion and a family-friendly working environment with flexible working hours

Selected candidates will receive a three-year full-time position according to the German public service salary scale (TV-L E13).

Severely handicapped people are given preference in case of equal qualifications, aptitude and professional qualifications.

Please send your application by email with the usual documents (CV, Letter of motivation, references, list of publications, an electronic copy of the MSc thesis, etc.) mentioning the registration number until 30.11.2019 with the Reg.-Nr.: 337/2019 to 

Prof. Dr.-Ing. Joachim Denzler
Computer Vision Group
Institute for Informatics
Friedrich-Schiller-University Jena
Ernst-Abbe-Platz 2
D-07743 Jena

Phone : (+49)-3641-946420 or (+49)-3641-946301 (secretary)
Fax.: (+49)-3641-946302
Email:
URL: http://www.inf-cv.uni-jena.de

Questions regarding the position can be addressed to the same address.

 In the case of an application by letter we ask you to submit your documents only as copies, as those are properly destroyed after the application process. Please also note our application hints at: www.uni-jena.de/stellenmarkt_hinweis.html. Please also note the information on the collection of personal data under: www.uni-jena.de/Universität/Stellenmarkt/Datenschutzhinweis.html

 

Bitte beachten sie die Informationen zur Erhebung personenbezogener Daten
Registriernummer
337/2019

 

Bewerbungsadresse
Friedrich-Schiller-Universität Jena
Institute for Informatics
Ernst-Abbe-Platz 2
07743 - Jena

 

Ansprechpartner
Prof. Dr.-Ing. Joachim Denzler
Telefon: 03641-946420
Fax: 30641-946302
E-Mail:

 

Fristen
Ausschreibung vom: 04.11.2019
Bewerbungsende: 30.11.2019
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