Postdoc in Machine Learning (Nuclear Physics Division), KTH, Stockholm, Sweden: The most recent notice for the hiring of Postdoctoral Fellow in Machine Learning (Nuclear Physics Division) posts has been released by The Nuclear Physics Division within the Department of Physics at KTH in collaboration with SSM – The Swedish Radiation Safety Authority.
Eligible candidates can apply online for the Postdoctoral Fellow in Machine Learning (Nuclear Physics Division) Through the Official Website kth.se which is given below in the Important link section beginning from 13 December 2023. The following contains all the information regarding Postdoctoral Fellow in Machine Learning (Nuclear Physics Division).
The work is focused on development of methods for localization and non-destructive analysis (NDA) of radioactive materials using machine learning techniques and involves the application of numerical simulation codes, laboratory measurements and measurements in the field.
Postdoc in Machine Learning (Nuclear Physics Division), KTH, Stockholm, Sweden – Overview
| Recruitment Organization | The Nuclear Physics Division within the Department of Physics at KTH |
| Post Name | Postdoctoral Fellow in Machine Learning (Nuclear Physics Division) |
| Advt No. | S-2023-2107 |
| Postdoc Location | Stockholms län, Sweden |
| Last Date to Apply | 15 February 2024 |
| Mode of Apply | Online |
| Category | Postdoc |
| Official Website | kth.se |
Important dates
| Event | Date |
|---|---|
| Apply Start | 13 December 2023 |
| Last Date to Apply | 15 February 2024 |
| Exam Date | Notify Later |
Research Area
Machine Learning for Data Analysis and Image Reconstruction in Applied Nuclear Physics
Education Qualification
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- A doctoral degree or equivalent foreign degree, completed by the time of employment decision.
- Demonstrated scientific excellence through publications in research journals.
- Ability to collaborate within a research team, with independence in planning and executing research.
- Excellent command of the English language (written and spoken).
Preferred Qualifications
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- A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
- Demonstrated experience from development of machine learning techniques, digital signal processing and advanced statistical analysis is desired.
- Expertise in image reconstruction techniques, such as in medical diagnostics or radiation physics will be particularly considered.
- Teaching abilities.
- Awareness of diversity and equal opportunity issues, with specific focus on gender equality.
Job Description
Postdoc in Machine Learning for Data Analysis and Image Reconstruction in Applied Nuclear Physics
The Nuclear Physics Division within the Department of Physics at KTH in collaboration with SSM – The Swedish Radiation Safety Authority – seeks an outstanding postdoctoral researcher to conduct research on the development of radiation detection and imaging techniques for applications in nuclear safeguards and non- proliferation, nuclear security and related areas. The work is focused on development of methods for localization and non-destructive analysis (NDA) of radioactive materials using machine learning techniques and involves the application of numerical simulation codes, laboratory measurements and measurements in the field.
The employment
The position offered is for, at the most, two years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
How to Apply for Postdoc in Machine Learning (Nuclear Physics Division)
Follow these steps to apply for the Postdoc in Machine Learning (Nuclear Physics Division), at KTH, Stockholm, Sweden
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- Click on the Apply Online Link given below or visit the website kth.se
- Fill out the application form
- Attach the required documents
- Print the Application Form
The following documents must be submitted:
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- CV including relevant professional experience and knowledge.
- Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
- Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximum two pages long.
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
Contact persons
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- Professor Bo Cederwall
bc@kth.se
- Professor Bo Cederwall
Important Links
| Notification link | Notification |
| Apply Online | Apply Now |
| KTH, Stockholm, Sweden Official Website | Click Here |
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