PhD Scholarship in Mesh Generation from Optimized Shapes

DTU Compute
Tuesday 12 Sep 17

Apply for this job

Apply no later than 9 October 2017
Apply for the job at DTU Compute by completing the following form.

Apply online

DTU Compute’s Sections for Image Analysis and Computer Graphics, would like to invite applications for a 3-year PhD position starting, preferably, January 1st, 2018. The project is financed in large part by InnoTop: a six year research program aimed at providing new algorithms for large-scale shape and topology optimization. InnoTop is a Villum Investigator Project funded by the Villum Foundation and led by the Topology Optimization group at the Section for Solid Mechanics at DTU Mechanical Engineering. The present PhD project will be carried out in close collaboration with the TopOpt group.

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
The overarching goal of this project is to develop schemes — based on methodology from computer graphics and geometry processing — for the mapping of topology optimization results to simple 3d geometries in order to produce polygonal and polyhedral meshes which are well aligned with the directions suitable for optimal load bearing. This would allow us to compute structures at finer granularity than what could normally be achieved through such optimization. The project involves extensive development and coding of computer algorithms for shape and topology optimization. Hence, only candidates with documented coding experience will be considered.

Requirements
Candidates must have an M.Sc. degree in computational science and engineering (CSE), applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document experience in at least one and preferably more of the following topics: polygonal and polyhedral mesh generation and processing; finite element methods; numerical optimization tools; shape and/or topology optimization. Furthermore, good command of the English language is essential.   

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 associate professor Andreas Bærentzen in collaboration with other members of the InnoTop team.

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 Associate Professor Andreas Bærentzen, janba@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 Monday 9 October 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