Postdoc in Mathematical Analysis and Computations for Coupled-Physics Tomography

Updated: about 1 year ago
Deadline: The position may have been removed or expired!

Apply no later than 15 June 2017
Apply for the job at DTU Compute by completing the following form.

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A postdoc position is available in the section for Scientific Computing at DTU Compute, the Department for Applied Mathematics and Computer Science at DTU, starting August 1, 2017, or as soon as possible thereafter.

The position is funded by the project “Improved Impedance Tomography via Hybrid Data ” funded by the Danish Council for Independent Research | Natural Sciences. The overall project considers coupled-physics impedance tomography with hybrid data, including problem formulations and derivation of reconstruction algorithms.

Responsibilities and tasks
State-of-the-art tomographic methods typically involve a trade-off in performance – for example, in Electrical Impedance Tomography (EIT) the contrast can be excellent while the resolution is low. To overcome such limitations, new tomographic paradigms taking advantage of the coupling between two or more physical waves are emerging, e.g., EIT combined with ultrasound into acousto-electric tomography. These new hybrid models in coupled-physics tomography raise a range of mathematical questions and bring new computational challenges.   

Depending on the postdoc’s interests, the work will focus on theory related to problem formulations and inversion methods, or numerical implementations of inversion algorithms, or a combination of both.  

The research will be carried out in a research team of 5 people. This team is embedded into the inverse problems group in the section for Scientific Computing at DTU Compute. The section consists of 10 faculty members and 6 postdocs.

Candidates should have a PhD degree or equivalent. Preference will be given to candidates that have a documented research experience in Applied Mathematics in particular within coupled-physics tomography, Inverse Problems, PDE modeling, mathematical methods and computational algorithms for tomography or PDEs.

The postdoc should be able to work independently and act as team-players in the research group. Moreover, the postdoc must master the English language with proficiency.

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 terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is until the end of 2018.  

The work place is DTU, Lyngby Campus.

Further information
Further information may be obtained from Associate Professor Kim Knudsen, phone: 45 4525 3026, .   

Application procedure
Please submit your online application no later than 15 June 2017. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include: 

  • Application (cover letter)
  • CV
  • Diploma (MSc/PhD)
  • List of publications

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute conducts research and provides teaching in the fields of mathematics, modeling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique skills of the department are in high demand in IT innovation and production.

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.

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