Current Job Offers

Here you will find all vacancies in the Cluster.

Vacancies at SimTech

Project lead

Jun.-Prof. Dr. Carina Bringedal
apl. Prof. Dr. rer. nat. Bernd Flemisch

Position

1 PhD position for 3.5 years, 100 %, TV-L E13

We are looking for

  • MSc graduate in applied mathematics or computational science and engineering.
  • Experience in fluid dynamics and numerical implementation (ideally with C++) is positive, but not a requirement

What we are offering

Multiphase flow through porous media is challenging to simulate as the fluid-fluid and fluid-solid interfaces have a strong influence on the flow behavior. However, how strong this influence is and how it affects the flow, are depending on, among other things, the capillary number and the viscosity ratio. The goal of this project is to apply upscaling from pore to REV scale by taking the evolving fluid-fluid interface and fluid morphology from experimental data into account. This way, upscaled models valid for different flow regimes can be derived.
Through the upscaling a data-integrated REV-scale model is obtained, which relies on solving local cell problems for its effective properties. These cell problems will be solved either with a volume-of-fluid method or using phase-field models in a code developed as part of this project. Solutions of the cell problems provide REV-scale information for two-phase flow, where the fluid morphology is explicitly taken into account. This case-specific information enables more efficient and accurate simulations of two-phase flow processes.

Application Deadline

December 1, 2019

Please send your application (including CV and transcript of records from bachelor and master degree) to carina.bringedal@iws.uni-stuttgart.de.

IC SimTech Promotion of the Exchange of Knowledge between Research and Industry and industry-oriented Application of Learning and Real-Time Simulation (Reinforcement Learning for material flow in production systems)

Project lead

Prof. Dr.-Ing. Alexander Verl

Position

1 PhD position for 3,5 years (extension is possible), 100 %, TV-L E13

We are looking for

  • MSc graduate in engineering (mechanical, electrotechnical and/or software)
  • Optional: background and knowledge in production and machine tool engineering
  • People with organizational talent

What we are offering

Data-Integrated Simulation Science covers one of the main challenges of modern day. To make a lasting effect on our society, a strategy for transferring the research into industry is important. This position addresses this problem by organizing multiple events, which will serve as a platform for knowledge exchange between SimTech researchers and representatives of industry. The purpose of these events will be to make the companies aware of ongoing research topics in an early stage of the ExC 2075. Furthermore, to broaden the visibility of SimTech in the industrial landscape a demonstrator of an industrial application will be prepared as an exhibit for trade shows. The main goal of the project is, to ensure and foster the transfer of SimTech research results and to exchange knowledge and experience in the field of simulation with the industry.

An additional goal of the project is the realization of an industrial application demonstrating the possibilities and advantages of a data-integrated simulation approach. Here, one key element is the faster than real-time simulation technology for production lines with material flow, developed at ISW within SimTech, which has already been successfully transferred to industry and will serve as simulation for the control system development. The aim of the application is to demonstrate a novel procedure for the operation of production plants by integrating the real-time simulation parallel to the production processes. Within the research scope of this position is the application of reinforcement learning approaches to solve the control of dynamic and complex material flow systems.

Other vacancies

The Chair for Human-Computer Interaction and Cognitive Systems at the University of Stuttgart, Germany, led by Prof. Dr. Andreas Bulling, invites applications for fully-funded PhD and PostDoc positions in Human-Computer Interaction, Computer Vision, or Applied Machine Learning. Positions are situated in the context of a prestigious five-year ERC Starting Grant “Anticipatory Human-Computer Interaction”, the DFG Excellence Cluster Data-Integrated Simulation Science (SimTech), and the German Research Foundation (DFG) Transregional Collaborative Research Center “Quantitative Methods for Visual Computing”, in an environment that offers much creative freedom and support to conduct cutting-edge research.

Qualifications

A successful candidate has demonstrated outstanding academic performance (rank at top of class) and a strong technical background in one or several of the following research areas:

  • Human-Computer Interaction/Information Visualisation, e.g. design and evaluation of interaction techniques and adaptive information visualisations, user interface and user experience design, empirical evaluation of interactive systems
  • Computer vision/Computer graphics, e.g. 3D graphical (face, hand, body) modelling, egocentric vision, scene understanding, pose estimation, object detection/recognition
  • Machine learning, e.g. deep and recurrent neural networks, generative models, (inverse) reinforcement learning, visual question answering or captioning, cognitive modelling

A strong interest in applying computational methods to human-computer interaction, for example intelligent user interfaces, is required. Excellent programming skills are expected. Previous experience with Python, TensorFlow, or CUDA is an advantage. Strong team working and critical thinking skills, aptitude for independent and creative work, as well as fluent English written and presentation skills are essential.

Position

We offer fully-funded PhD and PostDoc research positions with a flexible start date. Salaries are internationally competitive based on state employee salary scheme TVL-E13/A13 (100%) that includes health and social insurance as well as contributions to the retirement pension plan. You will develop, implement, and evaluate new interactive systems, interaction paradigms, and computational methods, as well as write up the results for top international venues, such as - depending on focus - CHI, UIST, IUI or UbiComp/IMWUT, CVPR, ICCV, ECCV, or NeurIPS. You will contribute to the leadership of ongoing projects, will have the opportunity to advise undergraduate and graduate students, and contribute to the teaching activities of the group.

About the group

The Perceptual User Interfaces group works at the intersection of computer vision, applied machine learning and human-computer interaction. The group develops computational methods as well as ubiquitous and wearable systems to address fundamental challenges in sensing, modelling, and analysing everyday non-verbal human behaviour. The group is well-known for this line of work, has a strong presence in leading conferences in the above fields, and publications from the group are frequently distinguished with best paper awards (16 in the last four years). You will work among gifted colleagues and experienced scientists and have access to excellent infrastructure, including several regular series of lectures, research seminars, and invited talks by international guests, as well as a high-performance GPU cluster. For details see: https://www.perceptualui.org/

About the University

The University of Stuttgart is cradled in what is simultaneously one of Germany's most beautiful landscapes and one of Europe's most economically successful areas. The region is known for a high standard of living, beautiful surroundings, and easy access to other major metropolitan areas. The university is one of the top nine leading and oldest technical universities (TU9) in Germany and consistently ranked among the world's best universities in international rankings. The University of Stuttgart is part of the Cyber Valley initiative (https://cyber-valley.de/en), a new center for artificial intelligence research that brings together partners from science and industry to boost intelligent systems research and development in the Stuttgart-Tübingen region, specifically in the areas of machine learning, robotics, and computer vision.

The Department of Computer Science is located on the university campus in Stuttgart Vaihingen. It is devoted to cutting-edge research in computer science ranging from foundations (algorithms, programming logics, computer architecture) to a variety of application domains (computer vision and graphics, machine learning and robotics, intelligent systems). With its vibrant research environment and its attractive Bachelor and Master programs, the Department attracts top students from all over the world. The department offers a stimulating and collaborative environment. It is equipped with high-class research facilities and has close links to leading international companies in and around Stuttgart (e.g. Bosch AI, Mercedes-Benz, Porsche).

Applications

Applications must be submitted by email and include a cover letter (describing research experience, fit for position and future interests), a CV, study transcripts, copies of high-school degrees, and contact information of two references. Optionally, up to two selected own publications or theses can be included in a second pdf (max. 5 MB). The application should also indicate earliest date of availability. There is no fixed application deadline; applications are
considered until all positions have been filled.

Please send your application to hcics-application@vis.uni-stuttgart.de.

Should you have questions about the position, please contact Prof. Dr. Andreas Bulling https://www.perceptualui.org/people/bulling/

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