PhD scholarship in Machine Learning for Real-Time Radiation Measurements - DTU Compute
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Kongens Lyngby
Do you want to use your machine learning skills to develop the next generation of radiation measurement devices, e.g. for clinical use?
As our new PhD Student you will be part of a bigger project that focuses on advancing radiation detection technologies using neural based signal processing, high resolution X- and Gamma imaging detectors, and real-time radiation measurements. Our goal is to develop advanced radiation detection systems that can accurately and precisely detect and localize radiation sources with high spatial resolution and sensitivity. We aim to utilize AI-powered radiation sensor readout electronics to significantly enhance the speed and accuracy of radiation measurements. Our work will have significant applications in various fields, including nuclear medicine, space science, and ionizing radiation safety.
Responsibilities and qualifications
The main challenge you should solve is that current radiation detection systems are inherently not suitable for real-time data processing and rely on separate hardware. This makes data transfer a bottleneck that prevents real-time usage. We hypothesize that a well-trained pruned neural network can satisfy these needs.
Your main responsibility will be to develop a ML-based pipeline suitable for real-time radiation detection and classification. This will integrate existing theoretical models into the training algorithms to provide physics-guided data-driven models. Since real data is limited, due to the excessive cost of vast data collection, you should also develop suitable data augmentation techniques (or similar) relying on the available physics-model.
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.
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 DTU's rules for the PhD education .
Assessment
The assessment of the candidates will be made by professor Søren Hauberg.
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 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 as soon as possible according to mutual agreement. The position is full-time.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Further information may be obtained from Søren Hauberg, http://hauberg.org/
You can read more about DTU compute at https://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 . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 15 February 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:
You may apply prior to obtaining your master's degree but cannot begin before having received it.
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.
The Section for Cognitive Systems is an internationally renowned group for machine learning research. The group aims for the highest quality research. You're encouraged to collaborate both within the group and with other international groups. We emphasize a healthy work/life balance based on the premise that you do the best work when you are happy.
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.
Kilde: Jobnet.dk
As our new PhD Student you will be part of a bigger project that focuses on advancing radiation detection technologies using neural based signal processing, high resolution X- and Gamma imaging detectors, and real-time radiation measurements. Our goal is to develop advanced radiation detection systems that can accurately and precisely detect and localize radiation sources with high spatial resolution and sensitivity. We aim to utilize AI-powered radiation sensor readout electronics to significantly enhance the speed and accuracy of radiation measurements. Our work will have significant applications in various fields, including nuclear medicine, space science, and ionizing radiation safety.
Responsibilities and qualifications
The main challenge you should solve is that current radiation detection systems are inherently not suitable for real-time data processing and rely on separate hardware. This makes data transfer a bottleneck that prevents real-time usage. We hypothesize that a well-trained pruned neural network can satisfy these needs.
Your main responsibility will be to develop a ML-based pipeline suitable for real-time radiation detection and classification. This will integrate existing theoretical models into the training algorithms to provide physics-guided data-driven models. Since real data is limited, due to the excessive cost of vast data collection, you should also develop suitable data augmentation techniques (or similar) relying on the available physics-model.
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.
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 DTU's rules for the PhD education .
Assessment
The assessment of the candidates will be made by professor Søren Hauberg.
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 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 as soon as possible according to mutual agreement. The position is full-time.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Further information may be obtained from Søren Hauberg, http://hauberg.org/
You can read more about DTU compute at https://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 . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 15 February 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:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
You may apply prior to obtaining your master's degree but cannot begin before having received it.
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.
The Section for Cognitive Systems is an internationally renowned group for machine learning research. The group aims for the highest quality research. You're encouraged to collaborate both within the group and with other international groups. We emphasize a healthy work/life balance based on the premise that you do the best work when you are happy.
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.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Kongens Lyngby.
Jobbet er oprettet på vores service den 18.1.2024, 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.
- Øvrige
- Kongens Lyngby
- Torsdag den 15. februar 2024
Lignende jobs
-
Øvrige i Holte
Få mere info- Øvrige
- Holte
-
Øvrige i Gentofte
Få mere info- Øvrige
- Gentofte
-
Øvrige i Gentofte
Få mere info- Øvrige
- Gentofte
-
Øvrige i Allerød
Få mere info- Øvrige
- Allerød
Statistik over udbudte jobs som øvrige i Kongens Lyngby
Herunder ser du udviklingen i udbudte øvrige i Kongens Lyngby over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal øvrige.
Se flere statistikker her:
Statistik over udbudte øvrige i Kongens Lyngby over tid
| Dato | Alle jobs som øvrige |
|---|---|
| 8. november 2024 | 20 |
| 7. november 2024 | 20 |
| 6. november 2024 | 19 |
| 5. november 2024 | 19 |
| 4. november 2024 | 20 |
| 3. november 2024 | 18 |
| 2. november 2024 | 18 |
| 1. november 2024 | 21 |
| 31. oktober 2024 | 20 |
| 30. oktober 2024 | 21 |
| 29. oktober 2024 | 21 |
| 28. oktober 2024 | 25 |
| 27. oktober 2024 | 25 |
| 26. oktober 2024 | 25 |
| 25. oktober 2024 | 25 |
| 24. oktober 2024 | 27 |
| 23. oktober 2024 | 28 |
| 22. oktober 2024 | 30 |
| 21. oktober 2024 | 29 |
| 20. oktober 2024 | 31 |
| 19. oktober 2024 | 31 |
| 18. oktober 2024 | 29 |
| 17. oktober 2024 | 29 |
| 16. oktober 2024 | 28 |
| 15. oktober 2024 | 30 |
| 14. oktober 2024 | 32 |
| 13. oktober 2024 | 30 |
| 12. oktober 2024 | 30 |
| 11. oktober 2024 | 31 |
| 10. oktober 2024 | 29 |
| 9. oktober 2024 | 31 |