03/07/2020
Science 4 Refugees

PhD position - AI-based simulation of battery systems combined with advanced spectroscopy

This job offer has expired


  • ORGANISATION/COMPANY
    Forschungszentrum Jülich
  • RESEARCH FIELD
    All
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    02/08/2020 00:00 - Europe/Brussels
  • LOCATION
    Germany › Jülich
  • TYPE OF CONTRACT
    To be defined
  • JOB STATUS
    Other

Work group:

IEK-9 - Grundlagen der Elektrochemie

Area of research:

PHD Thesis

Job description:

In the Institute for Energy and Climate Research - Fundamentals of Electrochemistry (IEK-9), we perform research on highly relevant topics related to the energy transition. For example, we investigate new battery concepts and how we can turn the greenhouse gas carbon dioxide (CO2) to the fuel of the future. The aim is to develop sustainable and cost-effective electrochemical systems with improved energy and power density, longer life time, and maximal safety. Find out more about our mission and future-oriented projects here: www.fz-juelich.de/iek/iek-9/EN/Home/home_node.html

Your Job:

Machine learning techniques combined with spectroscopic observables are developed and demonstrated for optimized battery management at the cell level. The aim is to achieve optimized fast charging performance, while at the same time industry standard battery lifetimes are matched or even outperformed.Your main tasks will include:

  • Simulate battery cell behavior targeting spectroscopic observables (EIS, NMR, EPR)
  • Devise machine-learning based simulation tools for battery charging
  • Develop a digital twin in close collaboration with an experimental peer PhD student
  • Exchange with external project partners at KIT and Fritz-Haber-Institute (FHI – www.fhi.mpg.de/321765/th-department)
  • Participate in project meetings
  • Prepare scientific publications
  • Mentor students and contribute to teaching

Your Profile:

  • M. Sc. degree in Chemistry, Physics, Computer Science or a related field with good final grade
  • Previous programming experience in either Python, Julia, Matlab/Octave or a compiled high-performance language required
  • Working knowledge of signal processing of spectroscopic data required
  • Experience in electrochemistry and machine learning desirable
  • Good skills in interfacing with external devices and networked computers
  • Motivation to model physico-chemical processes
  • Fluent command of written and spoken English
  • High degree of independence and commitment
  • Excellent organizational skills
  • Ability to cooperate and work in a team
  • Strong motivation for pursuing a PhD within 3 years

Our Offer:

  • Conduct the majority of your research at the Fritz-Haber-Institute (FHI) in Berlin
  • A highly motivated group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments
  • Work in close collaboration between theory (FHI), applied mathematics (KIT) and experiment (FZJ)
  • Outstanding scientific and technical infrastructure
  • An excellent scientific environment to perform high-class research
  • Chance of participating in national and international conferences
  • Further development of your personal strengths, e.g. via a comprehensive further training programme
  • Participation in interdisciplinary seminars
  • Doctoral degree awarded by RWTH Aachen
  • Usually a contract for the duration of 3 years
  • Pay in line with 75 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund).
  • Information on employment as a PhD student at Forschungszentrum Jülich can be found here (http://www.fz-juelich.de/gp/Careers_Docs)

Place of employment: Jülich / BerlinForschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.We also welcome applications from disabled persons.

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
Forschungszentrum Jülich
Germany
Jülich

EURAXESS offer ID: 539045
Posting organisation offer ID: 2020D-074

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