PhD scholarship in Machine Learning for Real-Time Radiation Measurements – DTU Compute

• Profile
• Sign Out

View More Jobs

PhD scholarship in Machine Learning for Real-Time Radiation Measurements – DTU Compute
Kgs. Lyngby, Denmark


Be the First to Apply

Job Description

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 .
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.

Apply Now
Job Info

• Job Identification
  3029
• Job Category
  Phd
• Posting Date
  01/18/2024, 07:49 AM
• Apply Before
  02/15/2024, 05:59 PM
• Locations
  
  
  
  
  Matematiktorvet, Kgs. Lyngby, 2800, DK
  
  
  

Similar Jobs

• PhD scholarship in Tensor Networks for Machine Learning – DTU Compute
  
  Kgs. Lyngby, Denmark
  
  
  Posted on 01/11/2024
  
  
  
  Trending
  

  This project will push the boundaries of scalability, reliability, and explainability of tensor networks (TN) and develop a novel computationally efficient and expressive TN data science tool providing a strong complimentary generic framework to deep learning.

• PhD scholarship in Privacy-Preserving Machine Learning – DTU Compute
  
  Kgs. Lyngby, Denmark
  
  
  Posted on 12/11/2023
  
  
  
  Trending
  

  Do you want to advance state-of-the-art privacy-preserving machine learning algorithms? We are looking for two Ph.D. students, who are creative and enthusiastic for advancing machine learning research. Our lab focuses on improving and developing methods in privacy-preserving machine learning, which aims at facilitating data analyses without sacrificing privacy.

• PhD scholarships in Trustworthy Machine Learning and Data Spaces for Energy Systems – DTU Wind
  
  Kgs. Lyngby, Denmark
  
  
  Posted on 12/21/2023
  
  
  
  Trending
  

  Are you a talented, self-motivated, and team-oriented person, who thrives in a collaborative environment and enjoys working with complex topics? We seek two PhD students willing to be part of a world leading research environment and contribute to the development for the next generation scientific machine learning tools for power systems.

• PhD Scholarships in Process Systems Engineering and Artificial Intelligence/Machine Learning for Process Safety Applications – DTU Chemical Engineering
  
  Kgs. Lyngby, Denmark
  
  
  Posted on 12/18/2023
  
  
  
  Trending
  

  We are looking to recruit 3 Doctoral Candidates (DCs) as part of PROSAFE MSCA doctoral training network. The recruited DCs will have the opportunity to work as part of an international team of 12 doctoral candidates based at universities and companies throughout Europe. DCs will have multiple opportunities to participate in professional and personal development training and undertake research within multidisciplinary fields of AI/ML and PSE for safe and efficient process operations.

Page PhD scholarship in Machine Learning for Real-Time Radiation Measurements – DTU Compute – DTU Career Site Careers loaded

Skip to main content.
American English
Dansk
American English

I am an employee
 
Skip to main content.
Are You Still With Us?
It seems you’ve been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.
End Session
Continue Working
 
Skip to main content.
Work Summary

This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.

Discard
Add Summary