Publisher
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Majid Zamani

Top university

1 month ago

PhD Position in Machine Learning, Electronics Engineering, and Neuroscience at University of Southampton University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

A fee waiver is available for applicants from the UK, EU, and associated countries, covering the difference between UK and international tuition fees for 3.5 years. This can be combined with other funding schemes such as UKRI, EU Marie Skłodowska-Curie Actions, industry or government funding, or self-funding. No separate application for the fee waiver is needed if eligibility criteria are met.

Deadline

Expired

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Country

United Kingdom

University

University of Southampton

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Where to contact

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Keywords

Computer Science
Electrical Engineering
Electronics Engineering
Fpga Design
Python
Computational Modelling
Matlab
Deeplearning
Machinelearning
- Neuroscience
computational fluid dynamic

About this position

The University of Southampton is offering a PhD position in the BrainL∞p Research Lab, led by Lecturer (Assistant Professor) Majid Zamani. This opportunity is open to exceptional candidates from the UK, EU, and associated EU countries. The research areas include machine learning, electronics engineering, and neuroscience, with a focus on deep learning techniques (CNN, Autoencoder, LSTM, GAN), digital hardware architectures, FPGA design, computational modelling, and computational fluid dynamics (CFD) using COMSOL. Applicants should have a master's degree in a relevant field from a prestigious university, strong programming skills in MATLAB and Python, and familiarity with the listed research areas.

Entry requirements include a high GPA (UK upper second-class honours or 2:1 equivalent) and an IELTS certificate. The position offers a fee waiver for eligible applicants, covering the difference between UK and international tuition fees for 3.5 years. This waiver can be combined with other funding sources such as UKRI, EU Marie Skłodowska-Curie Actions, industry or government funding, or self-funding. No separate application for the fee waiver is required; it will be applied automatically if eligibility criteria are met.

To apply, candidates should send their CV and a one-page cover letter outlining their expertise to [email protected]. For more information, applicants can refer to the university's official scholarship page and the LinkedIn announcement. The University of Southampton is a leading institution in the UK, providing a supportive environment for research in cutting-edge fields such as machine learning, electronics engineering, and neuroscience.

Funding details

A fee waiver is available for applicants from the UK, EU, and associated countries, covering the difference between UK and international tuition fees for 3.5 years. This can be combined with other funding schemes such as UKRI, EU Marie Skłodowska-Curie Actions, industry or government funding, or self-funding. No separate application for the fee waiver is needed if eligibility criteria are met.

What's required

Applicants must have a master's degree in machine learning, electronics engineering, or neuroscience from a prestigious university. They should be proficient in deep learning techniques (CNN, Autoencoder, LSTM, GAN) and have strong programming abilities in MATLAB and Python. Familiarity with digital hardware architectures and FPGA design is required, as well as experience in computational modelling and computational fluid dynamics (CFD) using COMSOL. A high GPA equivalent to UK upper second-class honours (2:1) and an IELTS certificate are also required.

How to apply

Send your CV and a one-page cover letter detailing your expertise to [email protected]. Review the eligibility and entry requirements. If eligible, the fee waiver will be applied automatically upon acceptance. Check the university's application portal for further steps.

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