Arbejde Industrial PhD vacancy in 3D Image Analysis of the Obese Brain unspecified Danmarks Tekniske Universitet - jobtilbud
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Industrial PhD vacancy in 3D Image Analysis of the Obese Brain
jobbeskrivelse:
We are looking for a talented student with a MSc or equivalent to work on a combined PhD project between DTU Compute, Danish Research Centre for Magnetic Resonance (DRCMR) and Gubra. If you have an interest in bio-medical imaging and want to be part of discovering the mechanisms of obesity and how it affects the brain, this is a project for you. The candidate will be employed at Gubra and enrolled at DTU as an industrial PhD.
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
A global obesity epidemic is roaming the world today and constitutes a major concern in public health. Although obesity affects many organs in the body, it is widely accepted that the key regulator of appetite and energy control is the brain. However, due to the functional and structural complexity of the brain, our understanding of the pathways and mechanisms controlling body weight regulation is still Incomplete.
Recently, the development of a new imaging technology, light sheet fluorescence microscopy (LSFM), has made it possible to visualize the whole brain of an adult mouse with single cell resolution. Enabling a deeper understanding of how the brain responds to changes in body weight gain or loss in unprecedented detail. However, the interpretation of these large datasets will be greatly enhanced if they are registered to a common reference atlas and translated to in vivo imaging modalities such as MRI.
The aim of this PhD project is to expand the use of light sheet microscopy by creating an automated 3D registration model of the mouse brain. This will aid the analyses and scientific understanding of brain activity related to appetite regulation and drug induced changes in body weight. Ultimately, this will help the development of new and better therapies in the fight against obesity.
Requirements
For this PhD project we are looking for a talented and dedicated student. The focus of the project is to develop and implement image registration of image data sets obtained using light sheet microscopy or MRI from various pre-clinical animal models of obesity. We are looking for a competent person with a strong computational background and a keen interest in quantitative image analysis and 3D reconstruction; a student who can navigate and collaborate in an energetic environment and help drive the project forward. The student will be employed at Gubra and enrolled at DTU Compute (located 10 kilometers from each other) and although your tasks are varied, they will include:
- Development of algorithms and protocols for quantitative image analysis
- Registration and segmentation of 3D volumes
- Working with various imaging modalities (LFSM, MRI, light microscopy, etc.)
- Follow relevant PhD courses (at DTU, international PhD-schools and others)
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. http://www.dtu.dk/english/Education/PhD/Rules/PhDguide
Assessment
The assessment of the applicants will be made by prof. Koen Van Leemput.
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and appointment terms
The salary and appointment terms are consistent with the current rules for industrial PhD degree students. The period of employment is 3 years.
Further Information
Further information concerning the project can be obtained from prof. Koen Van Leemput - kvle (at) 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. http://www.compute.dtu.dk/english/education/phd
Application
Applications must be submitted by following the instructions detailed at the Gubra website: http://www.gubra.dk/about-us/careers/?j=86. The application deadline is 15 September 2018. https://www.gubra.dk/about-us/careers/?j=86
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 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 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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jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310
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Arbejdsgiver Navn: Danmarks Tekniske Universitet
source: DK-STAR
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