Postdoc in Optical Imaging and Data Mining of Brain Data

DTU Compute
torsdag 31 aug 17

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Frist 22. oktober 2017
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DTU Compute’s Section for computer graphics and imaging, would like to invite applications for a 2-year post-doc position starting 1st December 2017 or as soon as possible. The project is financed by the VILLUM FONDEN under the VILLUM Experiment call.

About us
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 two-year postdoc will join a research team working on a new optical imaging contrast for 3D reconstruction of the mouse brain network. The project is cross disciplinary with base in neuroscience and involves research topics ranging from design optics, optical imaging, machine learning and magnetic resonance imaging (MRI). The postdoc will work on the underpinning image contrast theory and to establish the mechanical design of laser optics needed for generating the new image contrast on an existing light-sheet microscope. Furthermore, the postdoc will establish the data analysis framework for the 3D image reconstruction of the brain network. Validation and proof-of-concept will use fluorescence-based imaging and MRI.

The Postdoc will take part in grant writing and be involved in supervision of PhD students as well as graduate students. The project will be carried out in close collaboration with the Danish Research Centre for Magnetic Resonance (DRCMR), Copenhagen University Hospital Hvidovre in Copenhagen, and Novo Nordisk A/S. The candidate will be working both at DRCMR and Novo Nordisk A/S. 

Qualifications
Candidates must have a PhD in computational science and engineering (CSE), physics, or biomedical engineering, or equivalent academic qualifications. Preference will be given to candidates who can document experiences into laser optics/optical imaging and its reconstruction or mathematically modelling for data mining of features.

The candidate should demonstrate strong interest in multimodal imaging of biological tissue used for validation. Furthermore, good team spirit, ability to work in a cross-disciplinary research environment, independent, innovative, good student supervision skills and command of the English language is essential.

Assessment
The assessment of the applicants will be made by Associate professor Tim Dyrby (PI) and Head of section for image analysis and computer graphics Anders Bjorholm Dahl.

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 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 2 years.

Further Information
Further information concerning the project can be obtained from Associate professor Tim Dyrby via mail to tbdy@dtu.dk.  

You can read more about DTU Compute on www.compute.dtu.dk/english

Application
Please submit your online application no later than October 22, 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 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.