Research Associate (f/m/d) in the Research Group Systems, Data, Simulation & Energy

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Organizational unit

Institute of Applied Informatics and Formal Description Methods (AIFB)

Job description

The newly founded Research Group Systems, Data, Simulation & Energy (SYDSEN) at the AIFB Institute has several positions to fill. 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.

Starting date

zum nächstmöglichen Zeitpunkt / as soon as possible

Personal qualification

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.

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

Salary category EG 13, depending on the fulfillment of professional and personal requirements.

Contract duration

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

Application up to

June 30, 2023

Contact person in line-management

For further information, please contact Prof. Lazarova-Molnar, email: [email protected].

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.

Please apply online using the button below for this vacancy number 2121/2023.

Ausschreibungsnummer: 2121/2023

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.

Contact

Personnel Support is provided by: Personalservice (PSE) - Human Resources Ms Carrasco Sanchez Phone: +49 721 608-42016,

Kaiserstr. 12, 76131 Karlsruhe