Research Assistant (EG 13 TV-H) in the field of Cooperative Intelligent Transport Systems - in the Department of Traffic Engineering and Transport Logistics

The position is limited until 31.07.2020 (§ 2 Abs. 2 WissZeitVG). The possibility of a doctorate is given.

Tasks:

Together with our project partners, you will work on the prototypical implementation, testing and evaluation of novel methods in the field of Cooperative Intelligent Transportation Systems. These systems offer a wide range of promising solutions for selected road traffic problems. We focus, for example, on the management of large and heavy goods vehicles on the basis of current traffic data and the estimation and prediction of accident risk potential on the basis of historical accident data and current traffic and driving history data, for example to avoid accidents involving wildlife.

Your tasks will include the systematic acquisition of expert knowledge, the development of information strategies, the testing and evaluation of the developed methods both in a simulation environment and in real road traffic.

Prerequisites:

A good academic degree (Master's or Diploma) in engineering or natural sciences with relevant knowledge in at least one of the following subject areas is expected: Data analytics, pattern recognition, machine learning methods, forecasting methods and/or road traffic engineering, traffic telematics, traffic simulation, evaluation and assessment methods. In addition, the ability to work independently on research and development projects, a confident manner and the willingness to work in a team in an interdisciplinary environment are required. Fluency in written and spoken German and a good command of English are required.

Advantageous are:

Knowledge in software development e.g. of Android apps is an advantage, at least expandable basic knowledge of a higher programming language is expected.

For further questions please contact Prof. Dr. Hoyer, Tel.: 0561-804-2824, E-Mail: robert.hoyer[at]uni-kassel[dot]deis at your disposal.

The protection of your personal data is important to us, which is why we will handle your personal data with care. If you provide us with your data, you authorize us to store and use it in accordance with the Hessian Data Protection and Freedom of Information Act. You can object to this at any time. Your personal data will then be deleted.

In the interests of equal opportunities, the University of Kassel endeavors to offer women and men the same development opportunities and to counteract existing disadvantages. The aim is to significantly increase the proportion of women in research and teaching. Qualified women are therefore expressly encouraged to apply. Severely disabled applicants with equal aptitude and qualifications will be given preference. Full-time positions are generally divisible. Please only send us copies of your application documents (no folders), as these cannot be returned after the selection process has been completed; they will be destroyed in accordance with data protection regulations. Applications with informative documents should be sent to the President of the University of Kassel, 34109 Kassel, Germany, stating the reference number, also in electronic form, or to bewerbungen[at]uni-kassel[dot]de.