Postdoc – 3D Data Analysis for X-Ray Computed Tomography, DanMAX is a Danish-funded material science beamline
Are you an expert in analysis of 3D images with an ambition of carrying out research that will change the world? Then you are the person we are looking for to fill the position as our new postdoc in image analysis for computed tomography at the DanMAX beamline at MAX IV. DanMAX is a Danish-funded material science beamline at the MAX-IV synchrotron in Lund, Sweden. With this position you will get the perfect foundation for a career in 3D imaging and analysis research.
During 2022, the construction of the tomography end station at DanMAX will finish and we will have an instrument for 3D X-ray phase contrast imaging with superior technical specifications. This will allow for unique experiments in a wide range of areas from hard materials to biology. The impact of this research is, however, dependent on the analysis methods employed and the interpretation of these results. With this position, we want to have an expert in image analysis at the beamline where the experiments are done. This will ensure that experiments are optimized for later analysis, and that the experimental results will become high-impact research.
As our new colleague you will be part of a strong group of researchers working on data analysis for tomography in the QIM center – the center for quantification of imaging data from MAX IV. QIM is a collaboration between researchers located at Lund University, University of Copenhagen, and The Technical University of Denmark. You will be employed by the Section for Visual Computing at DTU but have your daily work at MAX IV in Lund. Hereby, you will link DanMAX to the data analysis research at the universities.
We expect you to engage in research at DanMAX in collaboration with scientists at the beamline and the researchers in QIM. Building on the analysis tools and experience already established, we expect that you will contribute with analysis that leads to standardized analysis pipelines and procedures that will ensure that the time from experiment to results is short. Hereby, DanMAX impacts the field of tomographic research through fast publications of the latest experimental results.
Responsibilities and qualifications
We expect you to drive your own research in analysis of tomographic data and through this contribute to the data analysis platform used at DanMAX. You will also be involved in supporting the users carrying out experiments at the beamline and become the expert in data analysis. This will be a valuable contribution that ensures that the data produced by DanMAX will be well suited for analysis.
In you daily work, you will be placed at DanMAX and collaborate closely with the beamline scientists but also other MAX IV groups and support teams at MAX IV. But you will also collaborate with the QIM researchers and regularly come to DTU Compute and the 3D Imaging Center at DTU.
As an image analysis expert, you are expected to be a skilled programmer and a routine user of image analysis and visualization packages. We also expect you to be able to use deep learning methods for image segmentation and other processing tasks.
Your primary tasks will be to:
- Be part of the DanMAX team and support the user experiments in planning, carrying out the experiment, and helping and advising on the following data analysis.
- Develop a tomographic reconstruction and data processing pipeline based on existing software (e.g. SAVU from the Diamond Light Source) to obtain the best data for a further processing.
- Carry out research in 3D image analysis for full-field X-ray imaging data acquired at DanMAX. We offer an amazing opportunity of collaborating with the best experts in the field and participating in their experiments.
- Develop generic image analysis pipelines using the image analysis computing platforms at MAX IV and QIM to address the data science challenges at DanMAX.
- Be part of the QIM group of researchers and ensure that the development of new analysis methods is coordinated with the activities in QIM.
To perform these tasks, we expect you to
- have experience with either synchrotron or lab source X-ray tomography or similar 3D image analysis,
- be a strong data analysist programming in for example python,
- be good in communicating and promoting collaboration and involving relevant people in your research,
- drive the project with an ambition and focus on impacting the field of X-ray tomography.
As a formal qualification, you must hold a PhD degree (or equivalent).
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 3 years. Starting date is 1 October 2022 (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) and Innokenty Kantor (email@example.com).
You can find more information about DanMAX at https://maxiv.lu.se/danmax, about 3D imaging center at https://imaging.dtu.dk, and about QIM at https://qim.dk.
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 than 7 August 2022 (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:
- Application (cover letter)
- 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
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 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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 13,400 students and 5,800 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.
Apply for this job
Apply no later than 7 August 2022
Apply for the job at DTU Compute by completing the following form.