VR in Engineering Education: Research Assistant/Associate – Imperial College London

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Imperial College London (South Kensington Campus), Department of Chemical Engineering, offers a job opportunity as “Research Assistant/Associate in Using VR in Engineering Education”.

Duration: 12 months

Closing date: 12 August 2018

Degree Level: Ph.D (UG or MSc degree in areas such as Computer Science and Engineering, will also be considered)

Major(s): Computer Science, Engineering.

Job summary

The main role of the post holder is to help develop an interactive, multimodal environment for the exploration of transient, three-dimensional phenomena in mechanics-based modules, e.g. fluid dynamics, generated via in-house computational fluid dynamics software. Through this approach, students will develop a ‘feel’ and an intuition for the physical mechanisms underlying the flow phenomena, and the crucial assumptions and approximations which can be made in tackling complex flows, such as the ones typical of a wide range of settings.

Qualifications

  • PhD, or equivalent, in an area pertinent to the subject (i.e. Computer Science, Engineering, etc.). Individuals without a PhD, but with a UG or MSc degree in areas such as Computer Science and Engineering, will also be considered, but relevant and extensive experience in the field (e.g. industry experience) will need to be demonstrated.
  • experience with the development of VR applications, using signal-processing techniques, and interfacing software with hardware devices (e.g. haptic interface systems, VRPN).
  • excellent knowledge of programming in C, C++, Matlab (or Python), and of OpenGL (or similar).
  • Knowledge of fluid mechanics is desirable, as is experience with mobile programming (e.g. Swift, C#).

How to apply

Visit the official website and click the Apply now button at the top of the page.

Further information

For further information on this position, see the dedicated website.

Virtual Reality: Research Interns – Bosch Human Machine Interaction team, California

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Virtual Reality Research Interns

Bosch Human Machine Interaction team, Palo Alto, California, U.S.A.

Duration: 3 – 12 months
Start Date: As soon as possible
Degree Level: Masters or Ph.D. – Must be a current student or recent graduate (less than 1 year)
Major(s): Computer Science or related fields

Tasks & Responsibilities:

  • Conduct advanced research and engineering in the area of virtual reality, e.g. robust hand tracking, multi-modal interaction in immersive virtual environment, and HMD calibration.
  • Apply research results to real-world cases with high quality implementation.
  • Integrate the resulting system/software into existing Bosch platform.
  • Summarize research findings in high-quality paper and patent submissions.

Qualifications:

  • Strong background in virtual/mixed reality, computer vision, machine learning and related fields
  • Proficient with multiple languages and libraries (C++, OpenGL, OpenCV, Unity3D, etc.).
  • Strong research and problem solving skills.
  • Good communication, teamwork and technical writing skills.

Desired Skills (not required):

  • Publication record in top venues (CVPR/ISMAR/IEEEVR/VRST/CHI/SIGGRAPH, etc.).
  • Experience with hand tracking and gesture recognition with commodity RGB/RGB-D cameras.
  • Experience with multi-modal interaction technology for VR application.
  • Experience with HMD calibration.

How to apply:

Please email your resume to rbvisualcomp@gmail.com with prefix “[VR Research Intern 2017]” in the subject/title.

Further information:

For further information on this position, see http://www.bosch.us/content/language1/html/15320.htm

 

Mixed and Augmented Reality: University Assistant with Doctorate – ICG, Austria

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University Assistant with Doctorate, with Tenure Track to Position as Associate Professor

Institute for Computer Graphics and Vision, Graz, Austria.

Working area: Mixed and Augmented Reality

This full-time employment position (40h/week) is initially restricted to six years and offers the possibility of a qualification agreement for a tenured position. The employment is expected to start on May 1, 2017, and will be part of the Institute of Computer Graphics and Vision.

The position requires a completed PhD degree in computer science or a similar field.

We expect the following qualifications:

  • Excellent scientific qualification in Mixed Reality and Augmented Reality (MR/AR), especially computer graphics and visualisation methods for MR/AR and 3D user interfaces for MR/AR
  • International scientific publications
  • Experience with acquisition, management and scientific supervision of research projects
  • Experience in establishing a research group
  • Track record of scientific achievements, such as international prizes or awards
  • Teaching experience in relevant subjects
  • Network in the scientific community

Your job will involve the following duties:

  • Research on MR/AR, with the goal to earn international scientific reputation and visibility
  • Top-level international publications
  • Acquisition of third party funding for research (FFG, FWF, industrial
    projects)
  • Supervision of bachelor and master theses and support in the supervision of PhD students
  • Independent teaching in the bachelor and master program and introducing students to the world of visual computing
  • Service in the academic administration

The position will be paid according to category B1 of the collective contract of Austrian universities.

Graz University of Technology aims to increase employment of women in leading positions and as part of the research staff. We specifically encourage qualified women to apply. Please note that, all other aspects equal, women will be preferred in hiring.

How to apply:

Applications with supporting documents (copies of certificates and diplomas, CV, publication list, description of scientific and professional career, overview of previous and planned research and teaching, teaching evaluations if available) should be submitted preferably by email to informatik@tugraz.at and should quote the position identifier.

Closing date for applications:

18th February 2017

Position identifier: 7100/17/001