This is a position for three years with the possibility of extending the contract (position for academic qualification corresponding to § 2 WissZeitVG) with the opportunity for a PhD project. Start of work is as soon as possible.

The Department of Measurement and Control is conducting research and teaching in the areas of nonlinear system identification & control, computational intelligence & machine learning, signal & image processing and remote sensing, as well as sensor data fusion. The applications focus is on mechatronics, manufacturing, process, energy and environmental systems as well as service robotics.

Working in the Department of Measurement and Control offers:

• Interesting and varied work in an engaged international team
• An excellent modern working environment in a highly esteemed working group (www.uni-kassel.de/go/auszeichnungen-mrt, www.uni-kassel.de/go/publikationen-mrt)
• Exceptionally equipped labs incl. an Industry 4.0 model factory (www.uni-kassel.de/go/muPlant)
• Personal scope for creativity and self-responsible work
• Possibility to supervise student works and student assistants allowing to gain experience in leading a small working group
• Support in your scientific development and qualification
• Quick decision-making in a flat department hierarchy

Your Tasks:

• Carry out research in ensemble-based methods and fuse methods from machine learning, statistics and system identification to obtain for data-based methods for modelling nonlinear dynamical systems and quantify the prediction uncertainty
• Test and demonstrate the developed methods in several case studies using benchmark data sets and the test stands of the department.
• Present and publish your results in national and international conferences and journals
• Participation in and support of teaching and labs of the department is possible

Requirements are:

• Completed course of academic studies (Master degree) within the field of mechatronics, electrical engineering, mechanical engineering, physics, applied mathematics or a similar degree with at least good overall grade. The required degree must be available by the recruitment date at the latest.
• Experience and interest in control-oriented modelling
• Programming experience in Matlab or comparable
• Willingness to work independently and to publish in national and international conferences and journals
• At least very good command of English (B2/C1), proficiency in German (B1/B2)
• Interest in obtaining a PhD

Advantageous is:

• Experience in the fields of system identification, control engineering, statistics, machine learning

We are looking forward to your full application (motivational letter, CV, overview of studied B.Sc. and M.Sc. courses with results).

For further information please contact Prof. Dr.-Ing. Andreas Kroll, Tel.: +49 561 804-3248.

In the event of any differences between the German and English versions of this call for application, the German wording is legally binding.

Our Offer:

As an employee of the University of Kassel

• you will be offered an interesting and diverse range of tasks within the framework of a modern and ambitious university,
• you will be part of an interdisciplinary team with a good and collegial working atmosphere,
• you will have the opportunity to participate in professional and interdisciplinary further education measures,
• is your workplace with good connections to public transport, which you can currently use free of charge.

In addition, you will benefit from the advantages of employment in the public service such as:

• an additional company pension (VBL),
• an optional child supplement in accordance with TV-Hessen, a family-friendly university (including childcare for emergencies),
• an annual bonus
• an entitlement to capital-accumulation benefits,
• a promotion of voluntary commitment,
• low-cost participation in university sports and a full range of fitness activities as part of Unifit, as well as workplace health management

You can find more jobs at stellen.uni-kassel.de

Please send your application with the usual informative documents, stating the reference number in the subject line, via the online form. We have compiled further information for you in our FAQ.

In exceptional cases, we will also accept your application documents in paper form addressed to: The President of the University of Kassel, 34109 Kassel, Germany, or via mail to bewerbungen[at]uni-kassel.de, stating the reference number.

In the case of postal applications, please submit only copies of your documents (no folders), as these cannot be returned. All documents will be destroyed after completion of the selection process in compliance with data protection regulations.

The protection of your personal information is very important to us, so we will handle your personal information with care. By your application, you allow us the storage and use in the sense of the Hessian Data Protection and Freedom of Information Act. You can object to this at any time. Your personal data will be deleted.

Information according to Art. 13 DSGVO for the application process at the University of Kassel can be found at:
www.uni-kassel.de/go/ausschreibung-datenschutz

Information and FAQ about applying for a job offer:

https://www.uni-kassel.de/uni/universitaet/stellenangebote/hinweise-und-faq-zur-bewerbung-auf-ein-stellenangebot

The University of Kassel is very interested in the professional satisfaction of its employees. It is distinguished as a family-friendly university and, in the interests of equal opportunities, strives to offer everyone the same opportunities for development and to counteract existing disadvantages. It promotes the Family Welcome Service and also the Dual Career Service for positions that are scientifically and academically filled. One of the strategic goals of the University of Kassel is to significantly increase the proportion of women in research and teaching. Applications from women are therefore particularly welcome. Seriously handicapped and equivalent applicants are given preference if they have the same suitability, qualifications and professional performance. Full-time positions are generally divisible (except when filling civil servant positions). Applications indicating the Position Number, which may be in digital form, should be sent to the President of the University of Kassel, 34109 Kassel, Germany quoting the applicable reference number.