Part-time Assistant Programmers at DTU Compute
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Kongens Lyngby
We are looking for 1-2 part-time assistant programmers to join our team and help carry out 3D scanning experiments and data processing of 3D images and programming related to image processing.
The job
You will be part of a team of researchers working with 3D Image analysis in collaboration with users from many different fields. A central part of the team’s activities lies in creating new tools using machine learning enabling better and faster analysis. To support this work we have initiated the QUAITOM project – The Infrastructure for QUantitative AI-based TOMography. The purpose of QUAITOM is to establish a data science infrastructure for AI-based quantitative analysis of X-ray and neutron tomography (μCT). By applying novel concepts, the power of machine learning will for the first time be made available for the very large and scientifically diverse user community within μCT imaging.
As part of the infrastructure QUAITOM, we are building a number of datasets to support the research fields of 3D μCT and machine learning. By providing benchmark data of high quality, that reflects the variability and complexity of typical μCT data, we will be able to get the machine learning community to work on solving problems relevant to μCT imaging community.
QUAITOM will be a research infrastructure in the form of a computational platform that will provide data to machine learning and provide machine learning-based analysis tools for image analysis.
As a part-time assistant programmer on the team, you will be part of the practical work with creating the datasets as well as the work with curating the data and setting up the platform. Dependent upon your skills you will also be involved in various parts of user collaborations.
Our expectations of you
We expect you to have experience with working with 3D images and programming in Python. Perhaps you are a data science student, but not necessarily. As part of the job requires help with scanning of data, there will be periods with fixed working hours and a need for flexibility to meet the scan times allotted to the project.
The preferred skills are:
Primary activities the position will include are:
We expect you to be good at communicating and a team-oriented person with good problem-solving skills. You are enthusiastic about working in a research environment and keen to take part in developing the foundation for the next generation of deep learning image analysis techniques and the scientific work it will facilitate.
What we offer in return
We offer an interesting and challenging job with great flexibility in an international atmosphere with the focus on research.
Salary and appointment terms
The appointment will be based on the organization agreement between the Danish Ministry of Taxation and Prosa/State for IT employees in the state sector. The organization agreement represents together with the LC/OC10 collective agreement the complete agreement basis. The working time will be 8-15 hours per week.
Application and contact
Please submit your online application no later than Monday, 28 November 2022 (Danish time) . Open the “Apply online” link, fill out the form and attach your motivated application, CV and exam certificates.
If you would like additional information about the position, please contact Professor, Anders Bjorholm Dahl on +45 5189 6913 or Center Manager, Rebecca Engberg on +45 2112 3466.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, 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.
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.
Kilde: Jobnet.dk
The job
You will be part of a team of researchers working with 3D Image analysis in collaboration with users from many different fields. A central part of the team’s activities lies in creating new tools using machine learning enabling better and faster analysis. To support this work we have initiated the QUAITOM project – The Infrastructure for QUantitative AI-based TOMography. The purpose of QUAITOM is to establish a data science infrastructure for AI-based quantitative analysis of X-ray and neutron tomography (μCT). By applying novel concepts, the power of machine learning will for the first time be made available for the very large and scientifically diverse user community within μCT imaging.
As part of the infrastructure QUAITOM, we are building a number of datasets to support the research fields of 3D μCT and machine learning. By providing benchmark data of high quality, that reflects the variability and complexity of typical μCT data, we will be able to get the machine learning community to work on solving problems relevant to μCT imaging community.
QUAITOM will be a research infrastructure in the form of a computational platform that will provide data to machine learning and provide machine learning-based analysis tools for image analysis.
As a part-time assistant programmer on the team, you will be part of the practical work with creating the datasets as well as the work with curating the data and setting up the platform. Dependent upon your skills you will also be involved in various parts of user collaborations.
Our expectations of you
We expect you to have experience with working with 3D images and programming in Python. Perhaps you are a data science student, but not necessarily. As part of the job requires help with scanning of data, there will be periods with fixed working hours and a need for flexibility to meet the scan times allotted to the project.
The preferred skills are:
- Experience with programming in Python
- Experience with image processing and analysis
- Experience with machine learning including deep learning
Primary activities the position will include are:
- Data preparation and setup
- Scanning supervision
- Data reconstruction
- Image analysis
We expect you to be good at communicating and a team-oriented person with good problem-solving skills. You are enthusiastic about working in a research environment and keen to take part in developing the foundation for the next generation of deep learning image analysis techniques and the scientific work it will facilitate.
What we offer in return
We offer an interesting and challenging job with great flexibility in an international atmosphere with the focus on research.
Salary and appointment terms
The appointment will be based on the organization agreement between the Danish Ministry of Taxation and Prosa/State for IT employees in the state sector. The organization agreement represents together with the LC/OC10 collective agreement the complete agreement basis. The working time will be 8-15 hours per week.
Application and contact
Please submit your online application no later than Monday, 28 November 2022 (Danish time) . Open the “Apply online” link, fill out the form and attach your motivated application, CV and exam certificates.
If you would like additional information about the position, please contact Professor, Anders Bjorholm Dahl on +45 5189 6913 or Center Manager, Rebecca Engberg on +45 2112 3466.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, 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.
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.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Softwareudvikler", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Kongens Lyngby.
Jobbet er oprettet på vores service den 15.11.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Softwareudvikler
- Kongens Lyngby
- Mandag den 28. november 2022
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