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Department of Teaching and Learning with Intelligent Systems (LLiS)

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Current job openings of the department

We currently have an opening for a 

Postdoc (f/m/d)

(TV-L 13, full time, 2 years)

CRITICAL REFLECTION ON SIMULATION SCIENCE (OPEN TO ALL DISCIPLINES)

The DFG-funded Cluster of Excellence "Data-Integrated Simulation Science" (EXC 2075) is an interdisciplinary research center with more than 200 scientists performing research towards a common goal: We target a new class of modeling and computational methods based on available data from various sources, in order to take the usability, precision and reliability of simulations to a new level. 

THE PROJECT

The scope of the project relates to critically reflecting the broader impact of simulation science. Potential areas of research might include (but are not limited to) ethical and social concerns connected with simulation science, such as data ethics, privacy issues, or dual use; the function of different media (including literature and art) in the critical reflection of potential risks and effects of simulation science; or empirical studies on impact assessment of research approaches within the cluster. The successful candidate will work closely together with the SimTech “Platform for Reflection”, which offers a forum for reflecting on more general implications of the research conducted within EXC 2075. Their research will also be connected to the Stuttgart Research Focus “Interchange Forum for Reflecting on Intelligent Systems” (SRF IRIS) (https://www.iris.uni-stuttgart.de/), which they can join as a member upon interest.

YOUR TASKS

You will be responsible for developing new tools for reflecting upon the impact of simulation science both within and beyond EXC 2075.  While the postdoctoral project proposed will be rooted in your home discipline, it should demonstrate a strong interdisciplinary scope and address key issues arising from research conducted within EXC 2075.

WE ARE LOOKING FOR 

Considering that reflection often requires an ‘outside view’, candidates with a doctorate in cognitive science, psychology, or the humanities are particularly encouraged to apply. The ideal candidate is further required to demonstrate a solid interest and expertise in interdisciplinary approaches, proven by an interdisciplinary background and/or interdisciplinary research proposal.

WE OFFER

If you work with us,

  • you will enter a team of motivated and supportive colleagues 
  • you will work in the dynamic environment of the Cluster of Excellence SimTech and be part of the largest research alliance at the university
  • An inspirational and supportive research environment at the Cluster of Excellence SimTech
  • Diverse and responsible tasks in a dynamic and friendly team

Please submit your complete application by e-mail with one pdf attachment comprising a cover letter, academic CV, research statement (4 pages max.), a full publication list, names and contact addresses of two referees, as well as academic certificates and transcript of records and the completed application form (https://bit.ly/3iom4mc) to jobs@simtech.uni-stuttgart.de by 30 August 2021. If you have any questions regarding this application, please contact the SimTech Committee Platform for Reflection (reflection@simtech.uni-stuttgart.de).

We cannot reimburse any costs arising from the performance of job interviews.

The University of Stuttgart has been awarded “family-friendly employer”. Flexible working hours, regular childcare services, and family-networks allow for a better combination of professional and family life. The University of Stuttgart also offers a range of services to enhance social equity (https://www.uni-stuttgart.de/en/university/profile/equality-diversity/). Additionally, a dual career program is in place to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/  

The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.

Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://www.uni-stuttgart.de/en/privacy-notice/job-application/

We are currently looking for scientific support and therefore offer a position as

Research assistant (f/m/d)

to the extent of up to 100%, initially limited until December 31, 2022. An extension is considered. The remuneration will be in accordance with E13 TV-L (if the formal requirements are fulfilled).

The position

The position is part of the BeeLife project and mainly focuses on the development of a mobile app to promote environmental awareness in the school context. Software development will be conducted in Unity and should ensure compatibility with both Android and iOS. In the app, students will interact with virtual wild bee characters and complete various mini games. Machine learning algorithms will be used to ensure the adaptive functionality of the app and the included features (e.g., content units, knowledge tests, reflection prompts, point-based levels, and badges). A simple web interface should assist supervising teachers in administrating the mini games in the app. The research is conducted in collaboration with the Chemnitz University of Technology (Prof. Dr. Günter Daniel Rey).

We appreciate interest in teaching a course independently and, if necessary, co-supervising bachelor, master, and project theses.

Requirements

A prerequisite for employment is a completed master’s or diploma degree with a relevant professional background, e.g., (applied) computer science, software technology, game design, human-computer interaction, cognitive science, or similar fields. In addition, solid experiences with Unity, the development of mobile apps (iOS and/or Android) and agile software development practices are required. Experiences with web development and the application of machine learning methods are an additional Plus.

Furthermore, knowledge in user-centered design, the willingness for interdisciplinary cooperation and participation in the PR activities of the department are desirable. We also appreciate first experiences in teaching or interest in acquiring related experience.

Solid English language skills are required for working in our international team and the preparation of publications.

What we offer

We offer the opportunity to participate in the development of intelligent educational technologies that support learners in various ways in a creative, dynamic, interdisciplinary team. The regional connection with the Cyber Valley, Europe's largest AI cluster, provides the opportunity to work with top scientists from all over the world and to use a rich infrastructure of events and educational opportunities.

In addition to subject-related qualifications, we facilitate the personal development of our team members in various ways, e.g., by participating in national and international conferences, summer schools and career-related workshops, joint publications, participation in scientific networks or regular mentoring.

We offer flexible working hours and promote a good work-life balance.

How to apply

If you are interested, please send us your complete application to the job ID LLiS/2021/02 in the form of one single PDF file by August 18, 2021 to career.llis@ife.uni-stuttgart.de. Your application should contain the following documents: Motivation letter, CV, certificates and transcripts, samples related to the required software skills. We further ask you to indicate contact details of at least two references. Please note that we only consider complete applications in the selection process.

If you have any questions related to content, please feel free to contact Jun.-Prof. Dr. Maria Wirzberger (Principal Investigator) in advance at maria.wirzberger@ife.uni-stuttgart.de.

The University of Stuttgart would like to increase the proportion of women in the scientific field. Therefore, women are explicitly encouraged to apply. Severely handicapped persons will be given priority in the event of equal aptitude. We promote gender equality and diversity.

With the submission of your application, you accept the processing of your applicant data in terms of the data-protection law. Further information on the legal basis and data usage according to article 13 of the General Data Protection Regulation (GDPR) is provided at https://www.uni-stuttgart.de/en/privacy-notice/job-application/.

We are looking forward to receiving your application!

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