Postdoc in 3D Image Analysis for Plant Root Quantification - DTU Compute

Would you like to research new deep-learning methods for large volumetric images? Then this job might be what you are looking for.
Would you like to research new deep-learning methods for large volumetric images? Then this job might be what you are looking for.

In the HVIP project, we are an interdisciplinary research team that aims to use computed tomographic imaging (CT) to investigate root-bacteria interaction, specifically to understand how nitrogen-fixating bacteria enter the roots. This is important for producing crops with limited use of fertilizers. We are looking for a postdoc to analyze these images.

The HVIP project is in collaboration with Professor Jens Stougaard, Department of Molecular Biology and Genetics, Plant Molecular Biology, Aarhus University, and Professor Elizabeth Duke, European Molecular Biology Laboratory, EMBL-Hamburg Biological X-ray imaging, and is based on measurement strategy, reconstruction, segmentation, sample preparation, and structural quantification at the same time.

Responsibilities and qualifications
We are looking for a candidate with experience in 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 large-scale analysis including deep learning methods for segmentation and quantification. 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 PhD degree (or equivalent).

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.

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 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 2 years and two months starting from 1 November 2024 or according to mutual agreement. The position is full-time.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Anders Bjorholm Dahl, e-mail: [email protected], 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.

Application procedure
Your complete online application must be submitted no later than 18 October 2024 (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:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications

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 programs at DTU – both in terms of our scientific disciplines and our didactic innovation.

DTU Compute
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.

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