Vacancies at SimTech
STUTTGART CENTER FOR SIMULATION SCIENCE I AT THE EARLIEST CONVENIENCE
The new professor is expected to cover the field of Computational Cognitive Science both in research and teaching, specifically connecting modern data-driven and computational methods for the modeling and simulation of cognitive processes and their applications to human-computer interaction. The position is one of four new professorships that are established at the University of Stuttgart through the DFG Cluster of Excellence EXC 2075 “Data-driven Simulation Science (SimTech)”. The professor will be jointly appointed at the Stuttgart Center of Simulation Science and the Department of Computer Science and Electrical Engineering and linked closely to the Human-Computer Interaction and Cognitive Systems group.
We are looking for an ambitious scientist with international standing who will advance the field of Computational Cognitive Science and its respective foundations in Cognitive Science and Computer Science in close interdisciplinary collaboration with researchers from science and engineering as well as from the humanities and the social sciences. Applicants should have made distinguished contributions in at least one of these research areas:
- Cognitive modeling and simulation, especially of visual perception
- Data-driven and mathematical/statistical modeling of human behavior
- Behavioral experiments and evaluation methods
- Decision making, human learning, and reasoning
- Applications of cognitive models and simulations, e.g. in human-robot interaction, computer vision or immersive environments
We encourage excellent young scientists in related areas of (cognitive) neuroscience or psychology, machine learning or artificial intelligence, or human-computer interaction to apply.
We expect contributions to teaching in the Bachelor and Master programs of the Stuttgart Center for Simulation Science and of the Department of Computer Science as well as acquisition of third-party funding and active involvement in further collaborative research projects of the University.
The professorship is funded in the context of the joint program for the promotion of early career researchers by the German federal and state governments. The position is a tenure track position leading to an appointment as a W3 professor in case of positive evaluation. The requirements for employment as listed in § 51 Baden-Württemberg University Law apply. For more information on the criteria of evaluation and quality management, please visit the website: https://uni-stuttgart.de/tenure-track
Please submit your application before 20 October 2019 by e-mail to firstname.lastname@example.org with one PDF attachment comprising a curriculum vitae, academic degrees and certifi-cates, full list of publications, research and teaching statements, three selected publications as well as the application form. Applications should be addressed to Prof. Dr. Thomas Ertl, Stuttgart Center for Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted e-mail.
The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/univer-sitaet/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/
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)
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.
Join us! Open PhD and PostDoc positions
The 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 Cluster invites talented and outstanding
PhD candidates and PostDocs
pursuing a career in our successful Cluster of Excellence. The open positions are integrated into the Graduate School of the Cluster.
We seek applicants holding an excellent Master's degree in Mathematics or Computer Sciences, Engineering or Sciences (or a corresponding PhD if applicable). Successful candidates should be curiosity-driven, ambitious, creative, and passionate about interdisciplinary research in the area of simulation and data sciences.
For further information on
- the offered positions,
- application requirements,
- deadlines and
- contact persons
please visit https://www.simtech.uni-stuttgart.de/Announcement.
Für das Stuttgarter Zentrum für Simulationswissenschaft (SC SimTech), mit dem neuen Exzellenzcluster für „Daten-integrierte Simulationswissenschaft“, suchen wir zum nächstmöglichen Zeitpunkt
eine verlässliche, engagierte und interessierte
Studentische Hilfskraft Presse- und Öffentlichkeitsarbeit (m/w/d)
(ungeprüft oder geprüft)
Was du tun wirst:
- Hilfe bei Ausbau und Pflege der Website sowie unserer Social Media Auftritte
- Unterstützung bei der Erstellung von Printmaterialien (Flyern, Publikationen, Newsletter, Veröffentlichungen, Pressemitteilungen, Präsentationen)
- Unterstützung beim Ausbau und der Umsetzung der Pressearbeit
- Erstellung von Presseclippings und Presseverteilern
- Mitarbeit bei der Organisation und Durchführung von Veranstaltungen und deren Begleitung vor Ort
- Unterstützung bei der Erstellung von Werbeartikeln
- Aufbau einer Bilddatenbank
- Übernahme administrativer Aufgaben
Was wir suchen:
- Immatrikulierte/r Studentin/Student
- Idealerweise erste Erfahrungen im Bereich Kommunikation, PR und/oder Marketing (online/offline)
- Idealerweise Erfahrung mit OpenCMS oder anderen Content-Management-Systemen
- Hohe Kommunikationsfähigkeit
- Zielorientierte, selbstständige sowie strukturierte und gründliche Arbeitsweise
- Zuverlässigkeit und organisatorisches Geschick
- Freundliches und sicheres Auftreten
Sollten wir dein Interesse geweckt haben, dann freuen wir uns auf deine vollständige Bewerbung bis zum 15. Juli 2019 per E-Mail an email@example.com. Für Fragen zur ausgeschriebenen Stelle stehen wir dir unter 0711 685-60110 gern zur Verfügung.
- 1 PhD position for 2.5 years, 100% (with possibility of extension)
We are looking for:
- A motivated candidate with a master degree in applied mathematics or similar.
- Experience with asymptotic analysis and/or thermodynamic modeling is a plus.
Drying and evaporation in porous media is relevant for many engineering processes and for soil cultivation. These processes occur over several scales, where the evolving liquid-gas interface is important to describe the evaporation at the pore scale, while its effect lies on the REV scale. Our goal is to provide a better mathematical description of REV-scale evaporation by starting with a pore-scale description of the relevant processes and using upscaling to derive an effective model at REV scale. The effect of the evolving interface is explicitly taken into account and different approaches to describe the evolving interface at the pore scale will be investigated.
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.
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.
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 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 firstname.lastname@example.org.
Should you have questions about the position, please contact Prof. Dr. Andreas Bulling https://www.perceptualui.org/people/bulling/