PhD position in Modelling and Predictive Rendering of Particulate Materials

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, To apply for this position, please apply not only here, but also to the network directly following the instructions at

The project is on predictive rendering of powder materials (or, more generally, particulate materials). The research task will be to learn and model the distribution of particles in surfaces of particulate materials and estimate the reflectance properties of such surfaces based on light scattering by particles. This is an interesting research challenge because particles are currently considered independent scatterers in a volume, but we will in this project explore the surface reflectance properties of powder materials made of tightly packed particles. Our objective is appearance models that provide predictive rendering of particulate materials with relevance in 3D printing or other production. Parameters of the appearance models should be linked to relevant print/production parameters, so that the models are useful for rendering synthetic datasets for training neural networks to perform quality assurance tasks.

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

  • Compose mathematical models mapping the interaction of light and microgeometry of materials to optical properties.
  • Implement rendering techniques.
  • Validate models by comparing with photographs of real items.
  • Generate synthetic datasets for deep learning.
  • Write scientific papers and present research results at conferences.
  • Work as a teaching assistant in two or three 5 ECTS modules.

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.
  • Foundations in calculus, optics/physics, and geometric modelling.
  • Strong programming skills.
  • Some experience with deep learning techniques.

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.

The assessment of the applicants will be made by Associate Professors Jeppe Revall Frisvad, Associate Professor Andreas Bærentzen, 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

You can read more about career paths at DTU here

Further information
Further information may be obtained from Jeppe Revall Frisvad, email:

You can read more about DTU Compute at

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

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.