PhD Project in Estimation of Surface Radiometry

DTU Compute
Monday 13 Mar 17

Apply for this job

Apply no later than 27 March 2017
Apply for the job at DTU Compute by completing the following form.

Apply online

DTU Compute’s Section for Image Analysis and Computer Graphics, would like to invite applications for a 3-year PhD position starting August 2017. The project is financed by the MADE Digital Innovation Fund Denmark project. 

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.   

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation.                                    

Project Description
This PhD project is a part project carried out in the “Sensor Technologies and Production Data” work package of the MADE Digital project. The project will be carried out in collaboration with a group of strong industrial partners including LEGO Systems, InMold, IH Food, B&O, and VOLA, aiming at creating new and better methods for assessing the state of objects with challenging geometry and radiometry.

Optical sensors are used extensively for acquisition of surface geometry and spatially varying reflectance. The configuration and procedure is however quite different in the standard acquisition techniques for geometry versus reflectance. Light scattering causes defects in structured light scanning of geometry, for example, while geometrical features complicate reflectance acquisition quite significantly. With mathematical modeling of material appearance based on light scattering, we believe that it is possible to acquire geometry and reflectance simultaneously. In such an approach, we would use the defects due to light scattering to infer reflectance properties. With reflectance properties, we can infer surface geometry even for glossy objects like metals or translucent objects like plastic. With surface geometry, we can improve the reflectance acquisition. The aim is a progressive technique where we can exploit many potential synergies between geometry and reflectance acquisition.

Requirements
Candidates must have a master degree in mathematical modelling and computing (MMC), digital media engineering (DME), computer science and engineering (CSE), applied mathematics, or equivalent academic qualifications. Preference will be given to candidates who can document experience with computer vision, image analysis, computer graphics, or radiometric modelling. Furthermore, good command of the English language is essential.    

The candidate is expected to have good communication skills and a strong background in laboratory work dealing with at least one of the research areas that the described project touches:  

  • Radiometric Modelling (e.g. BRDFs in computer graphics)
  • Radiometric Measurements
  • Computer vision and 3D scanning, using e.g. Structured light, Multiview stereo, Photometric stereo

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.   

Assessment
The assessment of the applicants will be made by: Jeppe Revall Frisvad, Associate Professor in Computer Graphics, Image Section, DTU Compute, and Jannik Boll Nielsen, Assistant Professor, Image Section, DTU Compute.   

We offer
We offer an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.

Salary and appointment terms
The salary and appointment terms are consistent with the current rules for PhD degree students. The period of employment is 3 years.  

Further Information
Further information concerning the project can be obtained from Jeppe Revall Frisvad, jerf@dtu.dk.  

Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3377.   

Application
Applications must be submitted in English as one single PDF, and we must have your online application by March 27, 2017. Please open the link in the red bar in the top of the page: "apply online" (“ansøg online”). 

Applications must include: 

  • application (letter of motivation)
  • CV
  • documentation of a relevant completed M.Sc. or M.Eng.-degree
  • course and grade list of bachelor and master degrees
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their 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 has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.  

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,600 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.