PhD position in Macroscopic Material Appearance Specification and Rendering
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Kongens Lyngby
We offer a research project on global formulation of the appearance of an object in terms of a macroscopic scattering function 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. A general macroscopic reflectance function must include both in-surface and subsurface scattering of light. Such a function is a good candidate for specifying product appearance, but it is also a function of high dimensionality, which makes it an interesting challenge to find practical representations for it. Existing models are typically either impractical or limited in predictive quality. Neural Radiance Fields (NeRF) is an interesting new candidate for appearance specification. NeRF should be explored in this project. In particular, the NeRFactor variant that performs neural factorization of shape and reflectance could perhaps be extended in this project.
The PhD student will explore the predictive quality of existing models and develop new models for practical, predictive appearance specification. This research includes development of practical techniques for rendering with the models considered for appearance specification.
This PhD position is one of 15 early stage researcher (ESR) 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/).
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
Qualifications
You must 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
Technical Proficiency
Soft Skills Requirements
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. http://www.dtu.dk/english/Education/PhD/Rules/PhDguide
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. http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths
Further information
Further information may be obtained from Jeppe Revall Frisvad, email: [email protected].
You can read more about DTU Compute at www.compute.dtu.dk/english.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU - Moving to Denmark. https://www.dtu.dk/english/about/job-and-career/moving-to-denmark
Application procedure
Your complete online application must be submitted no later than 14 July 2021 (Danish time). 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:
You may apply prior to obtaining your master's degree but cannot begin before having received it.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
DTU Compute
DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard-producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life 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 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
Kilde: Jobnet.dk
The PhD student will explore the predictive quality of existing models and develop new models for practical, predictive appearance specification. This research includes development of practical techniques for rendering with the models considered for appearance specification.
This PhD position is one of 15 early stage researcher (ESR) 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/).
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 / neural 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
You must 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
- 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. http://www.dtu.dk/english/Education/PhD/Rules/PhDguide
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. http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths
Further information
Further information may be obtained from Jeppe Revall Frisvad, email: [email protected].
You can read more about DTU Compute at www.compute.dtu.dk/english.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU - Moving to Denmark. https://www.dtu.dk/english/about/job-and-career/moving-to-denmark
Application procedure
Your complete online application must be submitted no later than 14 July 2021 (Danish time). 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) http://www.dtu.dk/english/Education/phd/Applicant/Pre_acceptance-1-
You may apply prior to obtaining your master's degree but cannot begin before having received it.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
DTU Compute
DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard-producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life 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 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Kongens Lyngby.
Jobbet er oprettet på vores service den 29.6.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Kongens Lyngby
- Onsdag den 14. juli 2021
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