PhD studentship in Machine Learning for Computational Photography - University of Cambridge

A funded PhD studentship is available at the Department of Computer Science and Technology, beginning in either October 2019 or January 2020. This doctoral studentship is for both UK/EU and overseas applicants interested in working on a PhD thesis in the area of machine learning for computational photography. The application must be submitted by 30 June 2019.

The studentship will involve work on improving the visual quality of video captured with digital sensors. Such video may be affected by noise, extreme illumination conditions (high dynamic range) and sensor limitations. The aim is to develop algorithms that combine both machine learning and computational photography methods to recover video of higher visual quality than the input. This could involve, for example, upscaling the content from standard- to high-dynamic range or reducing the visibility of noise in dark areas, while ensuring that the reconstructed video is temporarily stable.

Further details:

http://www.jobs.cam.ac.uk/job/21282/

Open Positions in Geometric Computing and VR

At the University of Bremen, there are two positions open in the areas of geometric computing and virtual reality.

Applicants should have a background in computer science, physics, applied mathematics, or related fields.

More information can be found at 

   http://cgvr.informatik.uni-bremen.de/jobs.shtml

Two PhD positions: Eye tracking in VR, Computer Science

The VR and HCI labs at the University of Louisiana have two NSF-funded PhD student positions available in Computer Science for research on headset-based eye tracking to improve educational VR. The work consists primarily of developing and evaluating approaches to make VR environments responsive to detected (in)attention and additionally to present gaze information to teachers to help them guide students in VR.

Candidates should have a background in Computer Science and a strong commitment to VR research. To apply, first contact Christoph W. Borst (christoph.borst@louisiana.edu) or Arun Kulshreshth (arunkul@louisiana.edu). Provide a CV including references, a cover letter, and any other materials to demonstrate background and interest (e.g., project results, recommendation letter).
Afterwards, formal application will be through our graduate school (preferred by April 30, but some exceptions are possible): https://cmix.louisiana.edu/computer-sciences/computer-science/doctoral

Depending on visa status and background, positions can begin in fall (August) of 2019 or later.

CACS VR Lab : https://vrlab.cmix.louisiana.edu/
HCI Lab : http://www.arunkulshreshth.com/