In the EPSRC-funded “Retinomorphic nanoscale synapses’ integration with silicon nitride photonic structures” (NANORETINA) project you will develop optoelectronic arrays, based on advanced photoactive materials, such as organic, perovskites and two-dimensional semiconductors, like transition metal dichalcogenides, acting as artificial neurons and/or synapses. These will be integrated on a silicon nitride photonic platform that routes and manipulates light. You will demonstrate adaptive, light-driven networks that combine sensing, memory, and computation.

The role is well suited to candidates who wish to further develop their expertise in neuromorphic technologies and optoelectronics within a supportive and well-resourced research environment.

You will work in the state-of-the-art clean rooms of the Optoelectronics Research Centre. You will receive extensive training and support from the current users for all facilities, as you develop the skills necessary for the job. Prior experience on every tool is not required.

You will be invited to travel to project meetings and dissemination activities across the UK and overseas, and perform short stays at academic partners (e.g., University of Strathclyde, Aston University), assisting junior research staff and planning and participating in group outreach activities. Reasonable adjustments will be made to support candidates for whom travel may present challenges.

The role includes extensive leadership training and transferrable skills development that will allow you to progress from device and tool specialist to neuromorphic computing leader. You will be offered career development opportunities via online courses and workshop attendance through the ECS Centre for Neuromorphic Technologies (CeNT) and UKRI Multidisciplinary Centre for Neuromorphic Systems and Computing (NeuroSYNC) networks.

Essential Requirements:

• Experience in either photonic structures or optoelectronic device fabrication and characterisation.
• Strong experimental skills in at least one of: nanofabrication, electronics, materials development and processing, or thin-film characterisation.
• Ability to work collaboratively within interdisciplinary research teams.
• Good communication and interpersonal skills.

Desirable Requirements:

• Prior experience with neuromorphic computing, photodetectors and/or memristive devices and arrays.
• Experience in working with photoactive materials, such as organic, perovskites or two-dimensional semiconductors.
• Experience in contributing to academic publications and funding proposals.

For informal enquiries about the application process, please contact Prof Dimitra Georgiadou (d.georgiadou@soton.ac.uk).

ECS holds an Athena SWAN bronze award in recognition of its continued commitment to improving equality for women in science and engineering. We take Staff wellbeing and professional development seriously. We offer a mentoring scheme for Staff. We will give due consideration to applicants that wish to work flexibly, including part-time and job share, and to those who have taken a career break. The University has a generous maternity policy* and onsite childcare facilities.

Benefits to Staff include a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment.

*subject to qualifying criteria

 We welcome applications from candidates whose PhD completion timelines have been affected by caring responsibilities, health conditions, or other personal circumstances.

Closing Date: 18 May 2026

Section: Education, Research & Enterprise

Salary: £36,636 to £41,064 per annum
Full Time Fixed Term for 22 months

This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing.

We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in the group of Dr Yasir Noori.

In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested at an industrial scale in collaboration with global companies in semiconductor fabrication and electronic design automation.

The position offers a rare opportunity to apply machine learning to an important technical challenge with substantial potential impact. You will also be involved in supervising PhD students and junior researchers and play a central role in shaping the research direction of the team. Your work is also expected to contribute to the development of innovative technologies with a clear pathway to commercialisation through the spinout company Deep Fabrication, to influence how semiconductor manufacturing is approached in practice.

The role will provide you with deep exposure to nanofabrication processes, experience working with industry-relevant datasets and problems, and the opportunity to publish in leading journals and conferences. It is particularly well-suited to candidates who are motivated by applying machine learning to real-world systems where the underlying physics is complex and not fully understood.

This position is offered for 24 months in the first instance, with the possibility of extension for a further 12 months.

To apply, please submit your CV and a cover letter outlining how your experience and interests align with the aims of the project, and provide responses to the short-listing questions.

Closing Date: 14 May 2026

Section: Education, Research & Enterprise

Salary: £36,636 to £44,746 per annum
Full Time Fixed Term for 2 years

The successful candidate will have a PhD or equivalent professional qualification and experience in a relevant physical/engineering science. The candidates must possess detailed knowledge and experience in Biophysics and/or BioNanotechnology.

We are looking for a self-motivated person, able to organise their own research activities effectively, and collaborate successfully across disciplines. The successful candidate will be a good communicator and will be expected to take the lead in preparing reports, presenting results to the consortium and writing research papers. You must also be able to work effectively in a team and organize time, tasks and responsibilities with other team members.

The post will be held in the School of Electronics and Computer Science (ECS) (http://ecs.soton.ac.uk). Ranked in the top 1% of universities globally and among the UK's top 20 for research, the University of Southampton has an international reputation for its research, teaching and enterprise activities.

Electronics and Computer Science provides a unique, friendly and supportive environment that facilitates use-inspired and multi-disciplinary research, education, training and outreach.

ECS holds an Athena SWAN bronze award in recognition of its’ continued commitment to improving equality for women in science and engineering. We will give due consideration to applicants that wish to work flexibly including part-time and to those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities and employees a childcare vouchers scheme.

ECS provides a unique, friendly and supportive environment. We have a range of staff development programmes and a unique mentoring and wellbeing scheme.

To find out more about working at ECS, visit: https://www.ecs.soton.ac.uk/workinghere

University of Southampton holds a Silver Athena Swan Award. It has a generous maternity policy, onsite childcare facilities and employees can participate in a childcare vouchers scheme. There is a great range of benefits that includes a contributory pension scheme; generous holiday entitlement; subsidised health and fitness facilities; cycle to work scheme; a range of discounts.

The University of Southampton is committed to sustainability and being a globally responsible university and has recently been awarded the Platinum EcoAward.

For more information, contact: Prof Hywel Morgan (hm@ecs.soton.ac.uk)

Closing Date: 13 May 2026

Section: Education, Research & Enterprise

Salary: £36,636 to £44,746 per annum
Full Time Fixed Term until 31/03/2029

This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source Precursors for the Electrochemical Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M) flagship, interdisciplinary research programme over 5-years. It is led jointly by the Universities of Southampton and Warwick, alongside several international and industrial partners, and brings together internationally leading teams from across chemistry, physics and electronic engineering. It aims to deliver a step-change in the understanding and control of electrochemical growth of high-quality mono/few-layer functional transition metal dichalcogenides (TMDCs), combining precursor design and synthesis, electrochemistry, solution and surface computation, advanced characterisation and device integration. In addition to the essential disciplinary research skills, candidates should demonstrate a genuine enthusiasm for collaborative working, the ability to communicate effectively across disciplines, and well-developed organisational skills.

In this role, your primary focus will be the characterisation and understanding of TMDC-based nanoelectronic devices, such as transistors, memristive devices and photodetectors, using materials developed within the EXPRESS programme. You will carry out advanced electrical measurements and analysis to investigate device behaviour and performance, including transport mechanisms, contact effects and switching dynamics, and will correlate these with material properties obtained through complementary characterisation techniques. You will work closely with fabrication, materials synthesis and theory teams across the EXPRESS consortium, contributing to an integrated effort spanning materials discovery through to device demonstration. The role offers the opportunity to contribute to high-impact research, develop new measurement methodologies, and (for more experienced candidates) take a leading role in shaping characterisation strategies and supervising junior researchers.

Candidates should have a strong background in 2D material based device physics and nanoelectronic characterisation, with experience in relevant materials and device systems. In addition to technical expertise, you should demonstrate a clear ability to work collaboratively across disciplines, communicate effectively, and contribute to a dynamic research environment. You will be required to be flexible and interact effectively with colleagues across the wider EXPRESS consortium to fulfil the scientific goals of the Programme.

The position is offered for 24 months in the first instance, with the possibility of extension for up to 3 further years.

Apply by uploading your CV and a cover letter detailing how your skills and experience match the requirements of the role.

Please contact Dr Ruomeng Huang (R.Huang@soton.ac.uk) for informal enquiries.

Closing Date: 27 Apr 2026

Section: Education, Research & Enterprise

Salary: £36,636 to £58,225 per annum
Full Time Fixed Term (until 31/07/2028)

This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source Precursors for the Electrochemical Growth of Functional 1D and 2D Metal Dichalcogenide Semiconductors) Programme Grant recently announced by the UK Engineering and Physical Sciences Research Council (EPSRC). EXPRESS is a large (£10M) flagship, interdisciplinary research programme over 5-years. It is led jointly by the Universities of Southampton and Warwick, alongside several international and industrial partners, and brings together internationally leading teams from across chemistry, physics and electronic engineering. It aims to deliver a step-change in the understanding and control of electrochemical growth of high-quality mono/few-layer functional transition metal dichalcogenides (TMDCs), combining precursor design and synthesis, electrochemistry, solution and surface computation, advanced characterisation and device integration. In addition to the essential disciplinary research skills, candidates should demonstrate a genuine enthusiasm for collaborative working, the ability to communicate effectively across disciplines, and well-developed organisational skills.

In this role, your primary focus will be the fabrication and optimisation of TMDC-based nanoelectronic devices, including transistors and memristive devices, using electrodeposited TMDC materials developed within the EXPRESS programme. You will design and implement fabrication process flows within a cleanroom environment, including thin film deposition, lithography, mask design and etching, and carry out device and materials characterisation using techniques such as SEM/EDX, XRD, Raman, XPS and electrical (I–V) measurements. The role will involve integration of novel materials into device architectures and development of reliable fabrication protocols.

You will work in close collaboration with colleagues across the EXPRESS consortium, including materials synthesis, electrochemistry and theory teams. You will be required to be flexible and interact effectively with colleagues across the wider EXPRESS consortium to fulfil the scientific goals of the Programme.

The position is offered for 24 months in the first instance, with the possibility of extension for up to 3 further years.

Apply by uploading your CV and a cover letter detailing how your skills and experience match the requirements of the role.

Please contact Dr Ruomeng Huang (R.Huang@soton.ac.uk) for informal enquiries.

Closing Date: 24 Apr 2026

Section: Education, Research & Enterprise

Salary: £36,636 to £44,746 per annum
Full Time Fixed Term until 31/07/2028

As a result of our continued success, we are hiring into a Software Engineering / Customer Support role.

We primarily develop and maintain Web-based repository services for a wide variety of both education and commercial organisations all over the World.

At our core is an open source repository platform, EPrints, which provides a flexible way to configure operations concerning data capture, structure and presentation, and a range of services that allow content to be accessed in a variety of ways. We support our many customers by maintaining our own Linux based virtual hosting infrastructure.

We are a well established small Enterprise team based in the School of Electronics and Computer Science at the University of Southampton.

About You

As part of the team, you will take responsibility for the development and support of customer focused projects, for both EPrints systems and more varied engineering activities. These typically relate to open access, open data, digital education, content management and systems integrations.

All projects require some level of design, programming, testing, project management, and customer support.

It is essential you have:

- Proven industrial experience

and / or 

- PhD or equivalent professional qualifications and experience in Computer Science or related discipline.

In addition, some knowledge of Linux as well as Web relevant technologies, for example XML, SQL, JavaScript and CSS is required. Experience in high level programming languages such as Python, PHP or Perl will be highly desirable.

This role is offered at either Level 4 or Level 5 (Senior) depending on your experience. And on a full-time fixed term contract initially for two years. It is normal for us to extend contracts on a rolling two-year basis.

For further information please see www.eprints.org/jobs, or contact Justin Bradley at justin@soton.ac.uk

About University of Southampton

There are a great range of benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment.

Closing Date: 04 May 2026

Section: Education, Research & Enterprise

Salary: £36,636 to £58,225 per annum
Full Time Fixed Term for 2 years