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PhD and Postdoc Positions in the Research Group Systems, Data, Simulation & Energy (SYDSEN)

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Job Description

There are several PhD and PostDoc positions available at the newly established research group Systems, Data, Simulation & Energy (SYDSEN) at the AIFB Institute. The SYDSEN research group concentrates on the use of data for providing decision support and enhancing energy efficiency, reliability and other performance metrics of cyber-physical systems, such as energy systems or smart manufacturing systems. In particular, our focus is on the development of new methods and approaches for data-driven modeling and simulation and its seamless integration with expert knowledge.

Some of the positions will be linked to our project ONE4ALL (Horizon Europe 2022), which aims to boost manufacturing plants’ transformation, especially SMEs, towards industry 5.0 (I5.0), reinforcing their resilience under unexpected changes in social needs. This will be done through a human-and-sustainability-centred development of plug-and-produce reconfigurable cyber-physical production modules (RCPMs). Those will consist of self-reconfigurable mobile collaborative robots embedded with IIOT devices for real-time monitorisation and interconnectivity. Our part in this project is the digital replication of the physical modules and processes through data-driven digital twins and controlled by a self-learning AI-based distributed and multidisciplinary decision support system (DSS).

Your activities will include research in the field of data-driven modeling and simulation for enhancement of energy efficiency and energy systems. In addition to research work, you will be also active in coordination and teaching of courses that are offered by the research group, and you will be involved in science administration.


Personal qualification

For PhD candidates:

  • A master degree in computer science, software engineering, data science or similar,
  • Strong interest in working with data-driven approaches,
  • Interest in working with formal methods, and modeling and simulation,
  • Strong ambition towards excellence in science and technology at the highest international level is expected,
  • Good knowledge of German or the willingness to learn it,
  • Good command of English.

For PostDoc candidates:

  • A doctoral degree in computer science, software engineering, data science or similar,
  • Solid publication record in data-driven approaches,
  • Strong ambition towards excellence in science and technology at the highest international level is expected,
  • Experience in teaching is highly appreciated,
  • Experience with writing proposals is highly appreciated,
  • Experience in modeling and simulation is highly appreciated,
  • Good knowledge of German or the willingness to learn it,
  • Good command of English.


Salary

The remuneration occurs on the basis of the wage agreement of the civil service in EG-13, depending on the fulfillment of professional and personal requirements.


Starting date

1. February 2023 (negotiable for earlier or later)


Contract duration

PhD positions are limited to four years, PostDoc positions are limited to two years with a possibility of extension


Contact person in line-management

For further information, please contact Prof. Sanja Lazarova-Molnar, email: sanja lazarova-molnar∂kit edu.


Application

Please send CV, transcripts and a copy of your Master's thesis (for PhD applications; draft is ok), names of two references and a motivation letter stating your research interests to sanja lazarova-molnar∂kit edu, subject: "PhD application" or "postdoc application". Send all documents as a single PDF; give the PDF a name that includes your name. The positions are open until filled.

vacancy number: 2274/2022

We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.

Recognized severely disabled persons will be preferred if they are equally qualified.

Job Type

Postdocs / Project Managers / Scientific Assistants

Link PDF

No information available

Contact Person

Sanja Lazarova-Molnar

Research Group

Systems, Data, Simulation & Energy

Closing Date for Applications

2022/12/31