Publisher
source

Bahareh Zaghari

Top university

5 months ago

PhD position in temperature monitoring and prediction using acoustic waves and machine learning University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

No explicit funding details are provided in the post. Applicants should check the application link or contact the supervisors for information regarding funding, stipend, and tuition coverage.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Southampton

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Where to contact

Official Email

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Materials Science
Aerospace Engineering
Temperature Measurement
Acoustic Physics
Digital Electronics
Pcb Design
Physics
Ultrasonic
Machine learning

About this position

We have been researching hotspot detection using acoustic waves for temperature monitoring of electronics for a few years. We are looking for a PhD candidate to work on this idea and extend it more in the direction of prediction and using machine learning.

List of our previous publications:
https://lnkd.in/eUucA6EX
https://lnkd.in/e9FmhrZH
https://lnkd.in/evm3uHBG
https://lnkd.in/ejHtqjwV

If you are interested please apply before 31 Jan 2025.
https://lnkd.in/eJT8ca2s

temperatureSensing SustainableAviation Electrification

Funding details

No explicit funding details are provided in the post. Applicants should check the application link or contact the supervisors for information regarding funding, stipend, and tuition coverage.

What's required

Applicants should hold a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Computer Science, Mechanical Engineering, Materials Science, Physics, or a related discipline. Experience or strong interest in machine learning, signal processing, and experimental research is highly desirable. Good written and spoken English is required. Prior research experience in temperature sensing, acoustic waves, or electronics is advantageous but not mandatory.

How to apply

Interested candidates should apply online via the provided application link before 31 January 2025. Review the supervisors' publications for background. Contact the supervisors for further information if needed.

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