BEMÆRK: Ansøgningsfristen er overskredet
Would you like to do research in new deep-learning methods that scale to extremely large volumetric images? Then this job might be what you are looking for.
We have an imaging setup, where images are recorded for a larger sample, and in selected regions, images of higher resolution are acquired. If we can predict the high-resolution content from the low-resolution images, we will gain information about the imaged sample at a scale much larger than previously had been possible. This will, however, require deep learning-based super-resolution to be applied to extremely large images. This is where you come in.
In XTREME-CT, we focus on the analysis of brain and bone tissue. We want to visualize all cells within entire functional parts of the brain and within entire bones with the ambition to have a voxel-to-image ratio of 104-105, which will provide much larger information density than in existing approaches. The project is in collaboration with Professor Henning Friis Poulsen, DTU Physics, Professor Henrik Birkedal, iNano, Aarhus University, and Professor Tim Dyrby, DRCMR, Hvidovre Hospital, and relies on taking innovative steps within X-ray instrumentation, measurement strategy, reconstruction, segmentation, sample preparation, and structural quantification at the same time.
Responsibilities and qualifications
We are looking for a candidate who has experience with deep learning for image processing and analysis. You will preferably also have worked with volumetric image data and have experience with large datasets. The tasks will be to develop efficient methods for multi-scale analysis including deep learning methods for super-resolution and segmentation. Since the images will be large, there is a need for high-performance computing where the images are processed in parallel on multiple GPUs.
You are expected to
- have experience with programming in Python and relevant deep-learning packages,
- have experience with the analysis of large datasets,
- know fundamental image analysis and processing methods and have experience in using them,
- be able to use visualization tools for volumetric images including surface and volume rendering, and
- preferably have experience with tomographic reconstruction even if this is not a requirement.
As a formal qualification, you must hold a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
We are looking for a candidate with a strong problem-solving mindset, a drive to learn, and a good team player enjoying being part of a large collaborative research project.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
.
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.
DTU offers a good work-life balance. English is spoken widely even if Danish is the main language. The working language is English. DTU in general and our group have a quite flat working culture where input is solicited from all employees. The entire Copenhagen Metropolis area has excellent infrastructure, including widespread bike path networks, a thriving food scene, excellent museums, beautiful natural scenery, etc. The PhD salary in Denmark is high and persons who have not been taxable in Denmark for three years may qualify for tax reductions.
Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Further information may be obtained from Professor Anders Bjorholm Dahl, e-mail: abda@dtu.dk
, phone: +45 5189 6913.
You can read more about DTU Compute at www.compute.dtu.dk.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark
. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar
” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 10 November 2023 (23:59 Danish time)
. Applications must be submitted as one PDF file
containing all materials to be given consideration. To apply, please open the link "Apply now", 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 (in English) including an official description of THE grading scale.
Applications 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.
The Section for Visual Computing is part of the Department for Applied Mathematics and Computer Science (DTU Compute). DTU Compute is an internationally unique academic environment spanning the science disciplines of mathematics, statistics, and computer science with an engineering focus. 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. 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.
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.
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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Lyngby-Taarbæk Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Danmarks Tekniske Universitet, Anker Engelunds Vej, 2800 Kongens Lyngby
-Ansøgning:
Ansøgningsfrist: 10-11-2023; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5932757
