Postdoc on Bayesian Monte Carlo for Photo-Realistic Rendering

Organisation/Company

Universitat de Barcelona

Department

Organisation profile

Research Field

Computer science » 3 D modelling
Technology » Graphic techniques

Researcher Profile

Recognised Researcher (R2)

Country

Spain

Application Deadline

7 Feb 2024 – 23:59 (Europe/Madrid)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

European Union / Next Generation EU

Reference Number

CNS2022-135480

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description
Project Objectives

Physically-based rendering (PBR) requires an accurate reproduction of the physical behavior of light and its interaction with the surface materials, which is formalized by the rendering equation. The typical approach to solve the illumination integral is by resorting to Classical Monte Carlo (CMC), thanks to its simplicity and ease of implementation. However, CMC requires a large number of samples to obtain an accurate estimate, even when coupled with variance reduction techniques. To address this issue several methods have been proposed in the literature, among which Bayesian Monte Carlo (BMC) and other Gaussian Process-based approaches with promising results. Nevertheless, the use of BMC in CG is still in an incipient phase and its application to more evolved and widely used rendering algorithms remains cumbersome. This research project proposes to investigate and develop efficient solutions to generalize the application of this very promising technique to PBR.

Candidate Qualifications

Candidates must hold a PhD in computer science, physics, mathematics, or in a related discipline, and have a strong publication record in their respective field. A solid mathematical background is required, as well as good programming skills in C++, Python and/or Matlab. Experience in Rendering techniques and/or Machine Learning is highly valued. Experience with Monte Carlo methods is also a plus.

Work Environment

The work will be developed within the context of a Research Consolidation grant (09/2023 to 08/2025) awarded to Dr. Ricardo Marques, and will be carried on within the Department of Mathematics and Informatics of the University of Barcelona, a multidisciplinary and extremely dynamic research environment. The selected candidate will have the opportunity collaborate with a PhD Student on the topic of Bayesian Monte Carlo for Photo-Realistic Rendering currently supervised by Dr. Ricardo Marques at University Pompeu Fabra, as well as to benefit from the national and international research collaborations of Dr. Ricardo Marques. For further inquiries please contact Dr. Ricardo Marques ([email protected] ).

Requirements

Research Field

Computer science

Education Level

PhD or equivalent

Skills/Qualifications

Candidates must hold a PhD in computer science, physics, mathematics, or in a related discipline, and have a strong publication record in their respective field. A solid mathematical background is required, as well as good programming skills in C++, Python and/or Matlab. Experience in Rendering techniques and/or Machine Learning is highly valued. Experience with Monte Carlo methods is also a plus.

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

Gross salary per year: 29100 €

Eligibility criteria

Candidates must hold a PhD in computer science, physics, mathematics, or in a related discipline, and have a strong publication record in their respective field. A solid mathematical background is required, as well as good programming skills in C++, Python and/or Matlab. Experience in Rendering techniques and/or Machine Learning is highly valued. Experience with Monte Carlo methods is also a plus.

Selection process

Selection will be based on the delivered documentation. In case of doubt, an interview of the candidate might be requested by the project IP.

Additional comments

Priority will be given to people with disabilities (Law 89/2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).

Website for additional job details

https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?ca…

Work Location(s)

Number of offers available

1

Company/Institute

Department of Mathematics and Informatics

Country

Spain

City

Barcelona

Geofield

Where to apply

Website

https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?ca…

Contact

City

Barcelona

Website

https://www.ub.edu

Street

Gran Via de les Corts Catalanes, 585

Postal Code

08007

STATUS: EXPIRED