The Cluster of Excellence EXC 2120 on „Integrative Computational Design and Construction for Architecture” (IntCDC) at the University of Stuttgart invites applications for the position of a
Independent Junior Research Group Leader in Computer Science for the Cluster of Excellence IntCDC (f/m/d)
EXC 2120 was newly established in 2019, with an initial funding period of seven years. A Cluster of Excellence is the most significant and substantial grant funded by the German Research Foundation (DFG). For the first time, a Cluster of Excellence has been awarded to the field of architecture, bringing together a world-leading interdisciplinary team of researchers from seven faculties of the University of Stuttgart and the Max Planck Institute for Intelligent Systems.
To complement our research activities, we are seeking a highly motivated young scientist with an outstanding early-career track record and substantial international research experience in fields related to the aims of the cluster. A successful candidate should have a PhD degree in computer science or a similar area, and profound experience in one or more of the following or related topics:
- Human-computer interaction or human-robot interaction, in particular, for digital fabrication
- Augmented reality and mixed reality, especially, in the context of engineering domains
- Visualization and visual analytics, machine learning for visual data science
- Computer vision or robot perception
- Computational approaches for architecture and the building industry
A successful candidate will combine above computer science research with the application-oriented research on methods that support digitization in architecture and the building industry.
This research-focused position will lead a new Independent Junior Research Group within Research Unit IV (Computer Science and Robotics) of the Cluster of Excellence IntCDC. The establishment of a competitive research program is expected. The Research Group is expected to collaborate actively with the IntCDC partners at the University of Stuttgart and the Max Planck Institute for Intelligent Systems.
The Research Group is funded for up to three years, including the Group Leader position (TV-L E14), funds for PhD projects, as well as startup and annual budgets. The Research Group will be embedded into the Visualization Research Center (VISUS) at the University of Stuttgart and will benefit from the support structures of VISUS and IntCDC, including access to several specific labs.
Please send your application (cover and motivation letter, academic CV, list of publications, description of past and future research activities (approximately three pages), degree certificates and transcripts of records from Bachelor/Master/PhD degrees) in a single PDF file (up to 10 MB) to email@example.com. Three reference letters should be submitted by the referees directly to firstname.lastname@example.org.
The closing date for applications is February 7, 2020 (23:59 CET).
Inquiries should be sent to email@example.com.
The University of Stuttgart is an equal opportunity employer. Applications by women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications. 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 the website https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/.
Information on how the University protects 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/.
The Institute for Visualization and Interactive Systems (VIS) and the Visualization Research Center (VISUS) of the University of Stuttgart, Germany invite applications for positions for
Doctoral and Postdoctoral Researchers
in Visual Analytics and Scientific Visualization in the following areas and projects:
- Visualization of Droplet Liquid Interaction (PhD)
as part of the International Research Training Group DROPIT
- Quantifying Visual Computing Systems (PhD)
as part of the Collaborative Research Center SFB-TRR 161
- Flow Visualization (Postdoc)
performing independent research supporting our projects in multi-phase flow visualization in the context of the Collaborative Research Center SFB-TRR 75 “Droplet Dynamics Under Extreme Ambient Conditions” and the Cluster of Excellence EXC 2075 “Data-integrated Simulation Science”
VIS and VISUS are vibrant places for internationally recognized research in visualization, visual analytics, VR&AR, computer vision and HCI offering great opportunities for discussion and collaboration with many other researchers in a wide range of disciplines in an excellent technically-oriented university. The city of Stuttgart and its vicinity are well-known for providing an attractive, diverse, and open environment for work and live close to cultural highlights and recreational offers.
Applicants should have completed a M.Sc. (or a PhD in case of the Postdoc positions) or equivalent degree in computer science or a closely related discipline with very good results. We expect previous experience in visual analytics, visualization, computer graphics, or visual computing - ideally, also in the research areas of the projects listed above – as well as excellent programming skills and a high level of proficiency in both spoken and written English. Applicants will be offered a 3-year contract as full-time research assistant (TV-L 13) in the VIS or VISUS groups under the supervision of Prof. Thomas Ertl (Thomas.Ertl@vis.uni-stuttgart.de).
Please send your application (cover letter, academic CV, letter of motivation indicating your favorite project(s), degree certificates and transcripts of records from Bachelor/Master, names of potential academic referees) in a single PDF file (up to 10 MB) to firstname.lastname@example.org. We will be starting evaluating the applications on October 7th, 2019. The University of Stuttgart is an equal opportunity employer.
Applications by women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.
Information on how the university protects 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/.