The Section for Visual Computing at DTU Compute invites applications for a 3-year PhD position starting early 2021. This project is concerned with deep learning for multispectral image analysis and is part of the MATRIX: Microbiome Assisted Triticum Resilience In X-dimensions, which is a project funded by the Novo Nordisk Foundation that aims at understanding how the interaction between microorganisms and plants can improve food production. In this project, the task is to carry out research on multispectral images of wheat leaves for measuring microorganisms on and in the leaf. In other parts of the MATRIX project, plant genome and chemical composition is investigated, and the multispectral imaging will be related to findings from these investigations.
The PhD will be a close collaboration between the Department of Computer Science at Copenhagen University (DIKU) and DTU. The main supervisor will be at DTU and the co-supervisor at DIKU, and you will be located both places. The MATRIX team also include researchers from other departments at Copenhagen University and North Carolina State University where you will engage in collaboration by spending time in these research groups.
In the project you will employ state-of-the-art deep learning computer vision methods for feature extraction, classification, and regression analysis applied to multispectral images. Data includes multispectral images of individual leaves and drone-images at the field level. The overall aim of the project is to create predictive models to engineer the wheat phyllosphere microbiome to improve resilience and productivity.
Responsibilities and qualifications
Multispectral imaging can be used for indirectly measuring the microorganisms associated with the plant leaves. The task in this project is to investigate methods that allow measuring leaf microorganisms and assess the predictive power of these methods. It is of particular interest to investigate how early in the growth stage the presence of specific microorganisms can be detected, and how sensitive multispectral imaging combined with machine learning is for measuring this.
If you are interested in this research area, then you are encouraged to apply for this PhD-position. You will work with scientists that are specialists plant biology, genetics, plant breeding, data science and other fields, that will need the results coming out of this project. Therefore, it is important that you are interested in delivering results to other researcher’s projects, and that you are willing to work hard to achieve your goals. This will also require that you are interested in understanding details of other people’s research projects in addition to becoming a specialist in your own area.
This PhD will be enrolled in the DTU Compute’s PhD school, which is a three-year project where the primary task is research in computer vision for multispectral imaging. But the project also involves teaching, course work, and other tasks.
You must have 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 expect that you have studied topics in computer science, mathematics, or similar including experience in image analysis, computer vision, machine learning, etc. Furthermore, the ability to program in Python, Matlab, C++, or similar is important. Also, the ability to work in a multidisciplinary environment is essential, as is a good command of the English language.
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 the DTU PhD Guide .
The assessment of the applicants will be made by Professor MSO Anders Bjorholm Dahl and Professor Mads Nielsen, Copenhagen University.
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 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. Starting date is 1st July 2021 (or according to mutual agreement).
You can read more about career paths at DTU here .
Further information may be obtained from Anders Bjorholm Dahl, firstname.lastname@example.org , tel.: +45 5189 6913 and Mads Nielsen, email@example.com , tel: +45 2460 0599.
You can read more about DTU Compute at www.compute.dtu.dk/english .
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .
Your complete online application must be submitted no later than1 May 2021 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", 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
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here )
You may apply prior to obtaining your 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 is a unique and internationally recognized academic environment 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.
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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland
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