At Technische Universität München (TUM), Department of Informatics,
Chair of Robotics, Artificial Intelligence and Embedded Systems (Prof.
Knoll), we are seeking a computer scientist in full time with expertise
in machine learning, cloud computing, electric circuit design and
programming, and electronic signal processing for scientific research
within a BMBF funded project on battery management. The position is
limited to a maximum of three years. Close collaboration with
experimental electrochemists carrying out fundamental research on
battery ageing is foreseen. As the project will be carried out in
collaboration with China, the successful candidate must be willing to
spend several months in Shanghai and/or in Beijing for joint activities
with the project partners
Scientific co-worker in Computer Science (Postdoc, TVL 13, full time)
The area of responsibility includes the performance of scientific tasks,
* Researching a new concept on battery management systems within an
electrochemical research team in collaboration with German and
* Design of measurement signals and routines on low cost electronic
processors, sensors and circuitry
* Collection and processing of data from measured batteries
* Application of machine learning tools, cloud computing and big data
methods for detailed analysis of measured data and data history
* Integration into a battery management concept, from physical
measurement to processing in the car to communication via internet
to external software and data analysis
* Determination of key parameters of automotive batteries (SOC, SOH,
RUL and others)
* Considerations on standardization
* Supervision of master students
* Drafting annual reports and publications
Sound expertise in machine learning methods, cloud computing and general
programming (data fitting, solutions to systems of non-linear equations,
Fundamental knowledge in electronics and electronic measurement
circuitry (CPUs, data transfer, signal composition and processing).
Very good English language skills and an openness to working in an
international environment are essential. Ability to work efficiently
and independently, and with a pronounced organizational understanding.
Willingness to travel and to carry out research stays of up to 2 months
(at once) in China (in total up to 4 months over the runtime of the
Challenging tasks of key importance for the success of electromobility,
embedded in a funding program to foster electric mobility in
collaboration with Chinese partners.
An environment of trust and mutual support.
Working in an interdisciplinary research team at the leading German
University of Technology.
Collaboration with experimental electrochemists in the field of battery
Collaboration with Chinese scientists and direct on-site insight into
Chinese culture and research institutions.
Contact to industrial companies via associated partners in the project
and other research cooperations
Training in standardization aspects of electromobility via experts in
the field (e.g. DKE, DIN).
As part of the Excellence Initiative of the German federal and state
governments, TUM has been pursuing the strategic goal of substantially
increasing the diversity of its staff. As an equal opportunity and
affirmative action employer, TUM explicitly encourages nominations of
and applications from women as well as from all others who would bring
additional diversity dimensions to the university’s research and
teaching strategies. Preference will be given to disabled candidates
with essentially the same qualifications. The remuneration will be
according to TVL 13.
Please send your complete application, including CV, letter of
motivation and copy of certificates via email to Dr. Oliver Schneider
([hidden email]) preferentially before May 31, 2018.
Technische Universität München Institute of Informatics 6 – Robotics,
Artificial Intelligence and Embedded Systems Schleißheimer Straße 90a,
85748 Garching-Hochbrück [hidden email] - Tel. +49 (0)89
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