Motivation
We are working on one of the most important challenges of our time: the CASE megatrends (Connected, Autonomous, Shared, Electric) are fundamentally changing people's mobility: in future, we will have to rely more heavily on digital, sustainable and shared solutions to meet our transportation needs. As one of the 14 Clusters4Future of the Federal Ministry of Education and Research, MCube aims to put these megatrends into practice in metropolitan areas. As part of MCube, we as the Chair of Automotive Engineering stand for data-based and analytical methods in the research cluster. We work together with dozens of partners from research and industry, from OEMs to innovative start-ups, and implement developed solutions in real-world laboratories.
Become part of our Smart Mobility Lab at the Chair of Automotive Engineering and actively shape the future of mobility!
Your Challenge
We are looking for an enthusiastic Mobility Solution Scientist (m/f/d) with a passion for shared mobility. In the ComfficientShare 2.0 project, the sharing of private vehicles in residential neighborhoods is being investigated and business models based on this are being developed. The aim is to use the experience gained from the previous project to develop even better shared mobility solutions that significantly improve current services. You will always maintain an overview of the project, as well as the economic and scientific environment of shared mobility. In addition, you will work on the collection and analysis of mobility data in the real-world laboratory and derive data-based insights for your personal research topic. Through successful project management and innovative research, you will further develop the topic of mobility of the future!
Your Profile
As an ideal candidate, you will have a Master's degree in engineering, computer science, transport engineering, economics, electrical engineering or another economic-technical discipline. Above all, however, you are strong in communication and organization in order to hold your own at the interface between business and science. You have initial programming skills in a high-level programming language (e.g. Python, Java), are passionate about developing new mobility solutions and are ready to help shape MCube through your commitment.
Your Opportunities
As part of our team, you will actively shape the mobility transition and build up a valuable network of players from industry and science. You will have access to extensive tracking hardware, server infrastructures and databases for your role in the Smart Mobility Lab. You will take on responsibility in the project right from the start and work in a team of experienced smart mobility experts who will shape mobility together with you. As part of your work, you will continuously expand your knowledge, pass it on and supervise student research projects in order to actively help shape the urban mobility of the future. You will have the opportunity to pursue a Ph.D.
What We Offer
- Temporary full-time position according to TV-L E-13 100% for a total of 3 years
- Possibility for doctoral studies and start-up founding
- Innovative research area with high societal interest and relevance
- Modern working environment and infrastructure
- Flexible working hours incl. work from home
- Own budget for further education and conferences
- Opportunity to spend time abroad
The position is suitable for disabled persons. The position requires attendance at the chair, travel, teamwork, sociability, and conducting experiments in laboratories or on test tracks. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. TUM aims to increase the share of women. Applications from women are therefore expressly welcomed.
If you have any questions, please contact Georg (georg.balke@tum.de / 089 289 10494).
We are looking forward to receiving your informative documents (cover letter, resume, attachment). Please send them with the job title in the subject line by e-mail / post to:
Christiane Schulte
bewerbung.ftm@ed.tum.de
Chair of Automotive Technology
Boltzmannstraße 15
85748 Garching