Postdocs in Synergy between Ultrafast Imaging and Deep Learning for Materials Characterization DTU

Postdocs (2) in Synergy between Ultrafast Imaging and Deep Learning for Materials Characterization – DTU Compute Would you like to be involved in developing the fastest possible X-ray imaging? Or are you excited about advancing deep learning to characterize 3D images? And would you like to collaborate on exposing and characterizing the microstructure of the materials? In either case, keep reading – one of the two available Postdoc positions might be for you! We invite you to apply for one of the two 2-year Postdoc positions. You will join the project RENNER, Real-time acquisition and neural representation of structural properties, funded by a Villum Synergy grant. Responsibilities and tasks The project RENNER exploits the synergy between two research fields: Advanced X-ray imaging, and deep-learning for the analysis of image data. The aim of the project is to develop an acquisition and analysis pipeline for characterizing composite materials. As one of the two Postdocs you are expected to have complementary roles in the project and to engage in extensive collaboration. Postdoc 1: you will be employed at DTU Energy where you will develop a novel acquisition approach allowing for ultrafast few-projection X-ray imaging. The work will involve the development of X-ray instrumentation, and methods for acquiring and reconstructing imaging data. Postdoc 2: you will be employed at DTU Compute where you will develop novel data analysis methods using neural representations, similar to methods for real-time rendering from multi-view rendering. Much of your everyday work will involve programming (in Python using PyTorch) and analyzing large datasets. Qualifications As a formal qualification, you must hold a PhD degree (or equivalent) in a field relevant to the project. For Postdoc 1 the focus is on experimental physics, and material science. Experience with X-ray imaging is especially welcome. For Postdoc 2 the focus is on image analysis, data processing, and machine learning. Experience with programming and high-performance computing is welcome. In addition, it is an advantage, for both positions, if you have experience with interdisciplinary collaboration. 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. The positions are full-time positions. Starting date is in April 2023, or according to mutual agreement. You can read more about career paths at DTU here. Further information Further information may be obtained from Associate Professor Vedrana Andersen Dahl (vand@dtu.dk), DTU Compute, or Professor Jens Wenzel Andreasen (jewa@dtu.dk), DTU Energy. You can read more about the project on RENNER project page, or in this news article. You can read more about the involved departments at www.compute.dtu.dk and www.energy.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 31 January 2023 (Danish time). Apply online here: Postdocs (2) in Synergy between Ultrafast Imaging and Deep Learning for Materials Characterization. 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) 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. *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. Additional information about the department can be found on www.compute.dtu.dk *DTU Energy* The Department of Energy Conversion and Storage is focusing on functional materials and their application in sustainable energy technology. Our research areas include fuel cells, electrolysis, polymer solar cells, magnetic refrigeration, superconductivity, thermoelectrics, sustainable synthetic fuels, and batteries. The Department, which has more than 200 employees, was founded in 2012. Additional information about the department can be found on www.energy.dtu.dk. *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 13,400 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. If you apply for this position please say you saw it on Computeroxy

Postdocs (2) in Synergy between Ultrafast Imaging and Deep Learning for Materials Characterization – DTU Compute

Would you like to be involved in developing the fastest possible X-ray imaging? Or are you excited about advancing deep learning to characterize 3D images? And would you like to collaborate on exposing and characterizing the microstructure of the materials? In either case, keep reading – one of the two available Postdoc positions might be for you!

We invite you to apply for one of the two 2-year Postdoc positions. You will join the project RENNER, Real-time acquisition and neural representation of structural properties, funded by a Villum Synergy grant.

Responsibilities and tasks

The project RENNER exploits the synergy between two research fields: Advanced X-ray imaging, and deep-learning for the analysis of image data. The aim of the project is to develop an acquisition and analysis pipeline for characterizing composite materials. As one of the two Postdocs you are expected to have complementary roles in the project and to engage in extensive collaboration.

Postdoc 1: you will be employed at DTU Energy where you will develop a novel acquisition approach allowing for ultrafast few-projection X-ray imaging. The work will involve the development of X-ray instrumentation, and methods for acquiring and reconstructing imaging data.
Postdoc 2: you will be employed at DTU Compute where you will develop novel data analysis methods using neural representations, similar to methods for real-time rendering from multi-view rendering. Much of your everyday work will involve programming (in Python using PyTorch) and analyzing large datasets.

Qualifications

As a formal qualification, you must hold a PhD degree (or equivalent) in a field relevant to the project. For Postdoc 1 the focus is on experimental physics, and material science. Experience with X-ray imaging is especially welcome.

For Postdoc 2 the focus is on image analysis, data processing, and machine learning. Experience with programming and high-performance computing is welcome.

In addition, it is an advantage, for both positions, if you have experience with interdisciplinary collaboration.

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. The positions are full-time positions. Starting date is in April 2023, or according to mutual agreement.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Vedrana Andersen Dahl (vand@dtu.dk), DTU Compute, or Professor Jens Wenzel Andreasen (jewa@dtu.dk), DTU Energy.

You can read more about the project on RENNER project page, or in this news article.

You can read more about the involved departments at www.compute.dtu.dk and www.energy.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 31 January 2023 (Danish time). Apply online here: Postdocs (2) in Synergy between Ultrafast Imaging and Deep Learning for Materials Characterization.

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)
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.

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. Additional information about the department can be found on www.compute.dtu.dk

DTU Energy
The Department of Energy Conversion and Storage is focusing on functional materials and their application in sustainable energy technology. Our research areas include fuel cells, electrolysis, polymer solar cells, magnetic refrigeration, superconductivity, thermoelectrics, sustainable synthetic fuels, and batteries. The Department, which has more than 200 employees, was founded in 2012. Additional information about the department can be found on www.energy.dtu.dk.

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 13,400 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.

If you apply for this position please say you saw it on Computeroxy