Προκήρυξη:

The work in this position will be carried out within the SFB “EASE – Everyday Activity Science and Engineering” (funded by the DFG), which is to perform fundamental research to enable robots to do human everyday activities, such as setting a table or loading a dish washer.

One strand of research of the CGVR lab in this endeavor is sub-project R03 (“Embodied simulation-enabled reasoning”), where we are to develop algorithms that enable robots to “envision” the outcomes of their tentative plans by simulating the real world around them before they actually follow through with their plan. This requires novel methods for faster-than-realtime physically-based simulation and the development of predicates in order to evaluate the outcomes.

In another strand, sub-project H01 (“Acquiring activity models by situating people in virtual environments”), we will deal specifically with the challenge of  grasping.  Here, the task is to develop novel methods such that a human user can grasp virtual objects using a virtual hand with high simulation fidelity and high dexterity. The goal is to allow humans to interact with virtual objects just like in real live, and to study their grasping behaviors under a large variety of scenarios and parameters.

The work will involve research on geometric real-time algorithms and physically- based simulation. In addition, it will involve computer graphics and virtual reality, in general. Also, you should be comfortable with applying mathematical methods, in particular, optimization methods and linear algebra (you don't have to prove theorems).

The successful candidate is expected to work towards achieving his/her PhD with this project. Your tasks will also comprise a small amount of help with teaching in  the computer science program (e.g., as teaching assistant).

Salary is according to the German Federal pay scale (TV-L 13, full time).

About Us:
The position offers great opportunities for collaboration with other members of both the computer graphics group and other groups. This job provides a vibrant research environment where a broad range of activities related to 3D graphics algorithms and virtual reality are being pursued (see cgvr.cs.uni-bremen.de). Our VR lab houses a number of modern VR devices, such as HMDs, zSpace, optical tracking, 6-DOF force feedback devices, powerwall, etc. The successful candidate will be working with a dynamic, friendly, and helpful team of computer graphics researchers. Our research group is part of the school of computer science at University of Bremen. Our university is a mid-sized university with about 20,000 students, a lot of them from abroad, offering a broad range of fringe benefits such as sports facilities, cultural activities, and daycare.

Qualifications:
Candidates should have an excellent Master’s degree in computer science, or a related discipline such as computational engineering, physics, mathematics, etc. You should be passionate about your work and highly self-motivated. Required skills are solid experience in C++ software development, and a very good command  of  English   (reading/writing/speaking).   Ideally,   you   have   specialized   in   real-time

computer graphics or physically-based simulation, you are capable of effectively applying mathematical methods, and you have knowledge in GPGPU programming. In addition, the successful candidate will be highly self-motivated, passionate about their work, and have good ability to work both independently as well as in a team in a multidisciplinary environment. Speaking German is a plus, but not required.

Conditions of Employment:
The position is available until mid 2021.

As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification, disabled persons will be given priority. Applicants with a migration background are welcome.

How to Apply & What to Do in Case of  Questions:
Applications should comprise a motivation letter, complete CV including any achievements, degree certificates (including list of courses and grades), names and contact details of at least two referees, and other credentials if any (e.g., recommendation letters, publications, etc.). Please send your application (preferably by email) to:

Prof. Dr. Gabriel Zachmann,  zach@cs.uni-bremen.de

Application Deadline: January 28 2017 (or until a suitable candidate is found).

If you have any questions about the position, please do not hesitate to address them to the above email address.

G. Zachmann University of Bremen Bibliothekstr. 1
28359 Bremen / Germany

For a paper-based application, please make sure you only send document copies, as all received application material will be destroyed after the selection process.