PhD position in Material Appearance Specification and Rendering using the BSSRDF

mandag 24 aug 20

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Frist 31. januar 2021
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This PhD position is one of 15 early stage researcher positions in an Innovative Training Network (ITN) funded by the EU Horizon 2020 research and innovation programme. The ITN is called PRIME (Predictive Rendering In Manufacture and Engineering, http://prime-itn.eu/). To apply for this position, please apply not only here, but also to the network directly following the instructions at http://prime-itn.eu/positions.html.

The project is on global formulation of the appearance of an object in terms of a macroscopic scattering function (the BSSRDF), and the role that such functions can play in the specification of material appearance. There is currently no standardized way of specifying reflectance properties that include subsurface scattering. The BSSRDF is a general reflectance function including both in-surface and subsurface scattering of light. It is thus a good candidate for specifying product appearance, but it is also a function of high dimensionality, which makes it hard to find practical representations for the BSSRDF. Existing BSSRDF models are typically either impractical or limited in predictive quality. In this project, the ESR will explore the predictive quality of existing BSSRDF models and develop new BSSRDF models for practical, predictive appearance specification. This research includes development of practical techniques for rendering with the BSSRDF, and the models should be informed by the microgeometry of the materials that they can specify the appearance of.

Responsibilities and tasks
You will be working with predictive rendering, which is a computer graphics research discipline conjoining mathematical modelling, computer science, and physics. In this position, you will therefore

  • Develop mathematical models for macroscopic scattering functions.
  • Implement rendering techniques.
  • Explore practical representation of the appearance of real objects.
  • Write scientific papers and present research results at conferences.
  • Work as a teaching assistant in two or three 5 ECTS modules.

Qualifications
Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.


Formal Requirements

  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering.
  • No PhD degree.
  • Less than 4 years of professional employment after obtaining your master’s degree
  • Less than 12 months of residency in Denmark in the last 3 years

Technical Proficiency

  • Advanced knowledge in the field of computer graphics.
  • Some experience with rendering, ray tracing in particular..
  • Foundations in calculus and Monte Carlo integration.
  • Strong programming skills.

Soft Skills Requirements

  • Fluent spoken and written English. Minimum proficiency level is B2, C1 is definitely preferred.
  • Self-reliant working style
  • Curious and ambitious personality.

Prior research and publication experience is considered a definite plus, but is not required.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

Assessment
The assessment of the applicants will be made by Associate Professor Jeppe Revall Frisvad and Project Manager Rebecca Engberg.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.


Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

The project includes secondment (research stay of a few months) with one or more of the partners in the PRIME consortium. More information at http://prime-itn.eu/.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Jeppe Revall Frisvad, email: jerf@dtu.dk

You can read more about DTU Compute at www.compute.dtu.dk/

Application
Please submit your online application no later than 31 January 2021 (23:59 CET)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Please apply not only here, but also to the network directly following the instructions at http://prime-itn.eu/positions.html

Candidates may apply prior to ob­tai­ning their master's degree but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The Department of Applied Mathematics and Computer Science at Technical University of Denmark hosts 11 research sections. In the Section for Image Analysis and Computer Graphics, we explore the interplay of vision, graphics, and geometry. The section roughly consists of 10 senior members of the department faculty, 25 PhD students, and 5 postdocs. The group of people is international, and the work language is English. The section and the university offer many lab facilities for imaging, additive manufacturing, high-performance computing, and optical experiments. The department is an internationally unique academic environment spanning mathematics, statistics, and computer science and strives to achieve research excellence in these disciplines of formal science.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.