Technical University of Denmark, DTU Compute

1677 15798Position ID: DTUCompute-PHDUNCERTQUANTI [#15798]
Position Title: PhD Project in Computational Uncertainty Quantification for Hybrid Inverse Problems
Position Type: Fellowship or award
Position Location: Copenhagen, Hovedstaden 2800, Denmark [map]
Subject Areas: applied mathematics, Inverse Problems, Partial Differential Equations, Scientific Computing, Uncertainty Quantification, computational science and engineering (CSE), applied mathematics, engineering
Application Deadline: 2020/05/01help popup (posted 2020/03/11, listed until 2020/05/01)
Position Description:    

*** The account for DTU Compute, Technical University of Denmark has expired. ***

 Turn your ideas and scientific curiosity into valuable knowledge that makes a difference.

Do you have a master’s degree (or are close to finishing one) in applied mathematics?


Are you motivated to learn more and help us quantify uncertainties when solving Inverse Problems?


Then you might very well be the new PhD student we are looking for.


DTU Compute’s Section for Scientific Computing invites applications for a 3-year PhD position starting August 1, 2020, or soon thereafter.
The project is associated with the research initiative CUQI financed by the Villum Foundation, and in collaboration with the Department of Applied Physics at the University of Eastern Finland, Kuopio Campus.

The world is uncertain
Uncertainty Quantification (UQ) allows us to characterize and study the sensitivity of a solution taking into account errors and inaccuracies in the data, models, algorithms, etc. We focus on inverse problems (e.g., image deblurring, tomographic imaging, source reconstruction, and fault inspection), and the overall goal of the CUQI project is to create a computational platform, suited for non-experts in academia and industry.


In this PhD project, you will work on UQ for hybrid inverse problems. Such problems appear for instance in photo-acoustic tomography and acousto-electric tomography, where two different physical phenomena interact and allow for the measurement of so-called hybrid data. The project concerns both mathematical modelling, mathematical analysis and scientific computing.


You will collaborate with fellow students and colleagues within CUQI, and you should be prepared to spend time at the University of Eastern Finland.


Qualifications and the road to success

To become a successful PhD student, you need a scientific mindset with a curious approach to learning backed by an additional ability to think outside the box. As you will face multiple challenges and setbacks, you will need persistency and a positive belief in that there is always a solution to a problem at hand. You will work individually and as a team player in an open, scientific environment supported by dedicated academic supervisors.


Your qualifications include:
  • A two-year master's degree (120 ECTS points) in computational science and engineering (CSE), applied mathematics, engineering or equivalent
  • A MSc thesis written within a subfield of applied mathematics that fits this PhD project e.g. Inverse Problems, Partial Differential Equations, Scientific Computing, or Uncertainty Quantification
  • Proficiency in written and oral English
  • The ability to work in a research team as well as independently

 

Your tangible goal is to transform from a student to a researcher while carrying out a scientific project and finding new results. We have a well-tested road map to support the development covering your independent research project, a course program, research dissemination and teaching, an external research stay, your thesis and finally your public defence.

Please see the DTU PhD Guide for further information regarding requirements for enrolment and the general planning of the programme.


Assessment
The assessment of the applicants will be made by Associate Professor Kim Knudsen (DTU), Professor Per Christian Hansen (DTU), and Associate Professor Tanja Tarvainen (UEF).

Salary and appointment terms

The appointment is based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is a full-time position. The period of employment is 3 years starting August 1, 2020 (or as soon as possible thereafter).

The workplace is DTU Lyngby Campus, Denmark.


Further Information
Further information concerning the position can be obtained from Associate Professor Kim Knudsen at +45 4525 3026 / kiknu@dtu.dk.

Application
Please apply at www.career.dtu.dk no later than May 1, 2020 (23:59 local time).

Your
application must be submitted as a single 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)

 

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, nationality, religion or ethnic background are encouraged to apply.

About Scientific Computing at DTU Compute
The Section for Scientific Computing at DTU Compute conducts interdisciplinary research in mathematical modeling, mathematical and computational analysis for complex problems in science, engineering and society. The section's expertise includes many aspects of functional analysis; partial differential equations; matrix computations; inverse problems and imaging; optimization and control; and computational mathematics – with applications in, e.g., tomography, energy systems and engineering design.

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 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.


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 11,500 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.


This employer is not accepting applications for this position through Mathjobs.Org. Please apply at https://www.dtu.dk/english/about/job-and-career/vacant-positions/job?id=6133fbca-d511-4796-b644-1ffc2b154b10.
Contact: Kim Knudsen, +45 4525 3026
Email:
Postal Mail:
Richard Petersens Plads
Building 324
DK-2800 Kgs. Lyngby
Denmark
Web Page: https://www.compute.dtu.dk/english

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