Aston University has a very ambitious strategy in digital technologies, which benefits the school directly in both its research and teaching environments, providing exciting opportunities to develop your research and teaching career. 

The school is experiencing a period of growth in terms of research activity and student recruitment in the digital sciences: computer science, cyber security, artificial intelligence and data science. Depending on your research interests you will have the opportunity to work with colleagues in several areas.  Collaborations are possible with a number of research centres and institutes within the University, and we are keen to attract applicants who can develop ambitious research collaborations both within and outside the University. Candidates are encouraged to look at the University website for more information. We host the Cyber Security Research Centre (CyberHub) and Aston Centre for Artificial Intelligence Research and Application and have close links with the Sir Peter Rigby Digital Futures Institutes.

To strengthen our existing teaching and research strengths we are particularly keen to attract applicants with expertise in distributed computing (including cloud and edge computing); modern advanced software engineering practice including DevOps, MLOps and Infrastructure as Code; software testing; distributed software architectures; design patterns; microservices; and the development and deployment of scalable data-driven software systems. We are also keen to build up expertise in Research Software Engineering and applicants who have the potential to collaborate with Research Centres and Institutes within the University are particularly welcome.

You will have an excellent research track record, commensurate with your career stage, and demonstrate the ability to produce high quality research outputs and impact.  You will have the opportunity to contribute to the development of a range of teaching activities and the wider curricula in the School.

For an informal discussion about this position please contact Professor Tony Dodd, t.dodd@aston.ac.uk. 

What we offer:

• Aston University is a dynamic and vibrant campus located within Birmingham city centre, which has excellent transport links via bus or train.
• Excellent training and development opportunities.
• A generous annual leave scheme with 30 days bookable leave and a further 13 days bank holiday and University Closure days.
• Everyday discounts to a number of activities and retailers.
• Great family friendly policies.
• On site gym and pool with discounted staff membership available
• Further information on our Benefits and Rewards can be found here.

This role may meet the requirements for Skilled Worker visa sponsorship.

If you require sponsorship, Aston University will assess eligibility if you are shortlisted for the role. 

Please note we are unable to confirm individual eligibility before shortlisting.

See here for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa

Closing Date: 15 Jun 2026

Unit: Teaching & Research

Salary: £38,784 to £46,049 per annum

Aston University has a very ambitious strategy in digital technologies, which benefits the school directly in both its research and teaching environments, providing exciting opportunities to develop your research and teaching career. 

The school is experiencing a period of growth in terms of research activity and student recruitment in the digital sciences: computer science, cyber security, artificial intelligence and data science. You will have the opportunity to carry out research within our Cyber Security Research Centre (CyberHub) within the school. Collaborations are possible with several other research centres and institutes within the University, and candidates are encouraged to look at our website for more information. We also host the Aston Centre for Artificial Intelligence Research and Application and have close links with the Sir Peter Rigby Digital Futures Institute.

To strengthen our existing teaching and research strengths we are particularly keen to attract applicants with expertise in cyber security operations, automation & response (SOAR); infrastructure operations, including security, monitoring, management, control and automation; autonomous systems for cybersecurity; network security; malware analysis; incident response; digital forensics; secure programming and delivery (Secure DevOps); ethical hacking and penetration testing.  We welcome applications from candidates combining AI-assisted techniques with cybersecurity.

You will have an excellent research track record, commensurate with your career stage, and demonstrate the ability to produce high quality research outputs and impact.  You will also have the opportunity to support the development and delivery of engaging teaching activities and contribute to the wider curriculum within the School.

For an informal discussion about this position please contact Professor Tony Dodd, t.dodd@aston.ac.uk. 

What we offer:

• Aston University is a dynamic and vibrant campus located within Birmingham city centre, which has excellent transport links via bus or train.
• Excellent training and development opportunities.
• A generous annual leave scheme with 30 days bookable leave and a further 13 days bank holiday and University Closure days.
• Everyday discounts to a number of activities and retailers.
• Great family friendly policies.
• On site gym and pool with discounted staff membership available
• Further information on our Benefits and Rewards can be found here.

This role may meet the requirements for Skilled Worker visa sponsorship.

If you require sponsorship, Aston University will assess eligibility if you are shortlisted for the role. 

Please note we are unable to confirm individual eligibility before shortlisting.

See here for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa

Closing Date: 15 Jun 2026

Unit: Teaching & Research

Salary: £38,784 to £46,049 per annum

The successful candidate will contribute to research, teaching and academic citizenship across the Department. You will enhance our strengths in robotics, avionics and control, supported by dedicated facilities including a Mechatronics Laboratory, UAV and Drone Flying Zone and a wind tunnel.

You will develop high‑quality research aligned with College priorities, pursue external funding, publish impactful outputs and supervise research students. At Grade 9, an established international research record and evidence of securing research income are expected.

You will teach across foundation, undergraduate and postgraduate levels, contribute to curriculum development and support high‑quality student learning through innovative and practice‑based approaches. You will play an active role in the launch and delivery of the new BEng Aerospace Engineering programme, including the development of hardware‑in‑the‑loop demonstrators.

In addition, you will contribute to departmental administration, student support, outreach and industry engagement, promoting the University’s commitment to equality, diversity and inclusion.

You will hold an undergraduate degree and a PhD in Aerospace, Control, Mechatronics, Electrical/Electronic or Mechanical Engineering (or a related discipline). You will have experience in higher‑education teaching and a developing or established research profile.

We welcome applicants with expertise in:

• Control engineering of aerospace systems
• Autopilots and fly‑by‑wire systems
• UAV control, sensing, communication, navigation, tracking and route planning

Skills in ROS, Java, Python, MATLAB, C++, digital twins and/or cybersecurity are desirable.

Aston University is committed to equality, diversity and inclusion. As women are currently under‑represented in this area, we particularly welcome applications from women. Selection will be based on merit alone.

Informal enquires about this post may be made to Prof Claire Lucas (c.lucas@aston.ac.uk) or Prof Ricardo Sodré (j.sodre@aston.ac.uk).

What we offer:

• Aston University is a dynamic and vibrant campus located within Birmingham city centre, which has excellent transport links via bus or train.
• Excellent training and development opportunities.
• A generous annual leave scheme with 30 days bookable leave and a further 13 days bank holiday and University Closure days.
• Everyday discounts to a number of activities and retailers.
• Great family friendly policies.
• On site gym and pool with discounted staff membership available
• Further information on our Benefits and Rewards can be found here.

This role may meet the requirements for Skilled Worker visa sponsorship.

If you require sponsorship, Aston University will assess eligibility if you are shortlisted for the role. 

Please note we are unable to confirm individual eligibility before shortlisting.

See here for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa

Closing Date: 10 Jun 2026

Unit: Teaching & Research

Salary: £41,064 to £56,535 per annum

You will join an established and collaborative team within the Aston Institute of Photonic Technologies, working under the guidance of Professor Andrew Ellis. The role involves carrying out research in purpose-built photonics facilities at Aston University. With the support of network-level simulations, you will contribute to the development of a network demonstration testbed optimised for tuneable laser-based switching. This will include the use of recirculating configurations to emulate large-scale networks exceeding 1,000 nodes. The role will also involve addressing integration challenges to enable appropriately buffered real-world data traces to be transmitted across the network, demonstrating the capabilities of optically routed interconnects.

Applicants should demonstrate a strong track record in at least two of the following areas: the use of fast tuneable lasers in digital signal processing for high-capacity optical communications; the development of recirculating loop-based optical communications testbeds; and the use of optical frequency combs or fast tuneable lasers in high-capacity communication systems. The ability to learn new techniques quickly is highly desirable, and further training will be provided as required.

Candidates with a highly relevant first degree or with relevant industrial experience will be considered for appointment at Grade 7 for a period of up to 36 months. Candidates with experience meriting a higher grade, such as a relevant PhD are welcome to indicate a desire to be considered for appointment at Grade 8 for a period of up to 30 months. 

For informal enquiries about this position, you can contact Professor Andrew Ellis, andrew.ellis@aston.ac.uk. 

Aston University is a vibrant campus located within Birmingham city centre, which has excellent transport links via bus or train.

• Excellent training and development opportunities.
• A generous annual leave scheme with 30 days bookable leave and a further 13 days of bank holiday and University closure days.
• Everyday discounts to a number of activities and retailers.
• Great family-friendly policies.
• On-site gym and pool with discounted staff membership available.
• Further information on our Benefits and Rewards can be found here

This role is likely to qualify for endorsement under the Endorsed Funder route of the Global Talent visa. This visa is for talented or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities.

See the Home Office guidance: https://www.gov.uk/global-talent 

Closing Date: 28 Jun 2026

Unit: Teaching & Research

Salary: £31,236 to £42,254 per annum

You will join an established and collaborative team within the Aston Institute of Photonic Technologies, working under the guidance of Professor Andrew Ellis. The role involves carrying out research in purpose-built photonics facilities at Aston University. With the support of network-level simulations, you will contribute to the development of a network demonstration testbed optimised for tuneable laser-based switching. This will include the use of recirculating configurations to emulate large-scale networks exceeding 1,000 nodes. The role will also involve addressing integration challenges to enable appropriately buffered real-world data traces to be transmitted across the network, demonstrating the capabilities of optically routed interconnects.

Applicants should demonstrate a strong track record in at least three of: the use of fast tuneable lasers in high-capacity communication systems, the use of optical frequency combs to enhance performance of high-capacity communication systems, the development of recirculating loop based optical communications testbeds, low latency applications of FPGAs on a sub ns timescale, digital signal processing in high-capacity optical communications. An ability to learn new techniques quickly is highly desirable and additional training will be given as needed.

Candidates with a highly relevant first degree or with relevant industrial experience will be considered for appointment at Grade 7 for a period of up to 36 months. Candidates with experience meriting a higher grade, such as a relevant PhD are welcome to indicate a desire to be considered for appointment at Grade 8 for a period of up to 30 months. 

For informal enquiries about this position, you can contact Professor Andrew Ellis, andrew.ellis@aston.ac.uk. 

Aston University is a vibrant campus located within Birmingham city centre, which has excellent transport links via bus or train.

• Excellent training and development opportunities.
• A generous annual leave scheme with 30 days bookable leave and a further 13 days of bank holiday and University closure days.
• Everyday discounts to a number of activities and retailers.
• Great family-friendly policies.
• On-site gym and pool with discounted staff membership available.
• Further information on our Benefits and Rewards can be found here

This role is likely to qualify for endorsement under the Endorsed Funder route of the Global Talent visa. This visa is for talented or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities.

See the Home Office guidance: https://www.gov.uk/global-talent 

Closing Date: 28 Jun 2026

Unit: Teaching & Research

Salary: £38,784 to £42,254 per annum

Closing Date: 05 Jun 2026

Unit: Teaching & Research

Salary: £38,784 to £46,049 per annum

A key initiative within the School is the Computer Science Industry Club, a strategic partnership between academia and leading organisations. The Club provides partner companies with access to talented students, academic expertise, and collaborative research opportunities, while offering students valuable exposure to industry through placements, projects, and events.

This role offers a unique opportunity to work at the interface of academia and industry, shaping meaningful partnerships that enhance student outcomes and drive innovation.

About the Role

The Industry Club Associate will play a central role in managing and developing relationships between the School of Computer Science and Industry Club partners. Acting as the main point of contact, you will ensure partners are effectively engaged and supported while identifying new opportunities for collaboration.

You will design and deliver a programme of high-quality events that support student employability, curriculum development, and research collaboration. The role also involves managing communications, maintaining partner records through a CRM system, and producing reports to evaluate the impact of Industry Club activities.

This is a dynamic and outward-facing role, requiring strong organisational skills, initiative, and the ability to build effective relationships with a wide range of stakeholders.

Skills, Experience and Qualifications Required

We are looking for a proactive and organised individual with experience in event management and stakeholder engagement. You will have:

• A degree (or equivalent experience), ideally with a background in event management, higher education, or a related field 
• Proven experience organising and delivering events 
• Experience managing professional relationships and engaging with external partners 
• Strong networking skills and the ability to build long-term collaborations 
• Excellent communication skills, both written and verbal 
• High levels of IT proficiency, including Microsoft Office and database systems 
• Strong organisational and time management skills, with the ability to manage multiple priorities 
• The ability to work independently and as part of a team 
• A proactive approach, with the confidence to develop new ideas and initiatives 

Desirable:

• Knowledge of the Higher Education sector and graduate labour market 
• A full driving licence for attending meetings and events 

 Please visit our website http://www.aston.ac.uk/jobs for further information and to apply online.  

Aston University may be able to sponsor those who are already on a Skilled Worker Visa issued before 22nd July 2025.  If you require sponsorship, Aston University will assess eligibility if you are shortlisted for the role.  Please note we are unable to confirm individual eligibility before shortlisting. See here for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa

Closing Date: 01 Jun 2026

Unit: Managerial & Professional

Salary: £31,236 to £36,636 per annum

This exciting Knowledge Transfer Partnership (KTP) project between Aston University and Modular Data Ltd will build an open-source platform that uses AI tools to predict outcomes such as reoffending rates and to improve supply chains. You will take day-to-day responsibility for developing the platform core and reusable “domain packs”, working with Modular Data’s team and Aston University academic supervisors.

What you will gain:

You will work at the forefront of applied AI, building a major open-source platform with real-world impact in criminal justice, public safety, and supply chain sectors. You will design, deliver and launch production-grade AI systems, guided by leading Aston University experts. This role provides the chance to lead technical innovation, publish joint research, and help set new industry standards in secure and ethical AI. You will have access to a personal development/training budget of £2,000 a year to build further skills relevant to your future career

This KTP is a great opportunity for someone keen to plan and deliver business change. You will work with senior University academics and senior company staff on a commercial project which puts the latest research into practice.

Aston University: You will work in a project team with Prof Abdul Sadka and Dr Zhuangzhuang Dai from Aston University and the Senior Team members at Modular Data with further support from an Innovate UK Knowledge Transfer Adviser.

Location: You will be based predominantly remotely as Modular Data operate as a virtual company. You will be required to attend regular monthly meetings in central London (most likely Tech UK HQ) and travel for training and occasional visits to Aston University where you will have access to facilities in central Birmingham. Some travel to other sites and training may also be required.

Candidate Profile: 

Minimum Masters degree in Computer Science, Data Science, or related subject, strong focus on AI/ Data Analytics.

What we are looking for:

Skills/ experience required for this exciting role include:

Essential

• Proficiency in multimodal data analytics, predictive modelling, and human-in-the-loop AI.
• Demonstrable experience with cloud platforms and microservices architecture for multi-cloud systems.
• Knowledge of, and demonstrable experience in, secure data access in complex cloud architectures, knowledge graphs and semantic reasoning.
• Extensive knowledge and practical experience in advanced machine learning models (e.g. deep learning) within the context of cross-modal pattern detection and predictive analytics (e.g. risk scoring)
• Programming experience in Python, Go, and/or Java, with familiarity in Scikit-image, TensorFlow, or PyTorch.
• Feature extraction skills relevant to AI model development, RAG architectures, and Human-in-the-Loop approaches.
• Strong problem-solving ability and adaptability for complex challenges in data governance and AI safety.
• Clear communicator with both technical and non-technical stakeholders in academia and industry.
• Proactive approach to learning and use of professional development resources.
• Analytical thinker, able to develop and explain robust technical solutions.

Desirable:

• Knowledge of open-source software development and modular frameworks.
• Certification in ethical AI or cloud architecture.
• Experience in open-source deployment across multiple cloud environments.
• Commitment to societal impact and high standards in ethical data practices.
• PhD in relevant area.

Attributes:

• Problem-solving ability and adaptability for complex challenges in data governance and AI safety.
• Communicate clearly to work across academic and industry teams
• Analytical thinker who solves complex technical problems
• Proactive learner who makes the most of development opportunities
• Communicates well with both technical and non-technical stakeholders
• Proficiency in technical writing and reporting to multiple stakeholders and audiences.

Additional Benefits and support:

• £2000 per annum for personal and professional development for the duration of the project
• Annual leave (25 days p/a)
• Professional support and mentorship
• Mental Health and wellbeing support: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing.

Career prospects: 

KTP Associates lead strategic projects, bridging the academic and business worlds, which can enhance and fast-track their career. You will also benefit from expert coaching and mentoring. 60% of our KTP associates are offered employment by their host companies at the end of the KTP.

For informal enquiries about this role please contact Dr Zhuangzhuang Dai, Aston University 
Email: z.dai1@aston.ac.uk

If you think this isn’t the right opportunity for you, please explore other KTP vacancies across the country: https://www.ktp-uk.org/jobs/.

Aston University is committed to the principles of the Athena SWAN Charter http://www.ecu.ac.uk/equality-charter-marks/athena-swan . We pride ourselves on our vibrant, friendly, supportive working environment and collaborative atmosphere.

Please visit our website https://jobs.aston.ac.uk/Vacancies.aspx for further information and to apply online.  

As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy.

This role is likely to qualify for endorsement under the Endorsed Funder route of the Global Talent visa. This visa is for talented or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities.

See the Home Office guidance: https://www.gov.uk/global-talent 

It is an Innovate UK requirement that candidates hold a visa or immigration permission to cover the full duration of the contract. The successful candidate is therefore expected to apply for a visa as necessary in line with their contract duration.

Closing Date: 07 Jun 2026

Unit: Teaching & Research

Salary: £40,000 to £43,000 per annum
depending on experience and qualifications, with an additional £5,000 budget for the duration of the project for professional and personal development

This exciting Knowledge Transfer Partnership (KTP) project will develop a novel AI-enabled system to automatically detect low-voltage services and conductors from image data and use sophisticated machine learning models to infer the location of hidden or obscured conductors.

You will work in SSEN’s core asset data team, working collaboratively to develop tools and embed techniques to develop a user-friendly mapping solution. 

What you will gain:

• Develop and apply advanced AI and machine learning methods on complex, large-scale data to solve tangible infrastructure problems
• Gain hands-on experience working across multi-disciplinary teams in a large utility company serving 3.9 million customers
• Access a personal development/training budget of £2,000 a year to build further skills relevant to your future career
• Work closely with world-leading researchers at Aston University and receive mentorship and industrial experience
• Contribute to a project expected to deliver major savings and modernisation in electricity distribution, with the opportunity to publish work and attend high-profile conferences

This KTP is a great opportunity for someone keen to plan and deliver business change. You will work with senior University academics and senior company staff on a commercial project which puts the latest research into practice.
 
What we are looking for:

Skills/ experience required for this exciting role include:

Essential

• Master’s degree (minimum) in Computer Science, Data Science, Computer Vision, Visual Media Engineering, or related subject focused on AI and Machine Learning
• Proficient in AI/deep learning methods, including use of convolutional neural networks
• Experience with analysis of RGB imagery and LiDAR data, particularly with regards to automatic key features extraction and fusion of features
• Skilled in feature extraction
• Programming ability using Python or MATLAB, and familiar with platforms such as Scikit-image, TensorFlow, or PyTorch

Desirable:

• PhD in a related area
• Knowledge of reinforcement learning
• Experience integrating AI/machine learning models into business workflows
• Familiarity with GIS, vectorisation techniques, and statistical tools (e.g. SPSS)
• Understanding of regulatory and safety standards for electrical energy distribution

Attributes:

• Analytical thinker who solves complex technical problems
• Able to articulate business problems, logical solutions and impactful outcomes
• Team player who works productively across locations and disciplines
• Adaptable and comfortable in a hybrid work setting (office-based with travel)
• Proactive learner who makes the most of development opportunities
• Communicates well with both technical and non-technical stakeholders

Additional Benefits and support:

• £2000 per annum for personal and professional development for the duration of the project
• Annual leave (25 days p/a)
• Professional support and mentorship
• Mental Health and wellbeing support: https://www.aston.ac.uk/staff-public/hr/Benefits-and-Rewards/health-wellbeing 

Career prospects: 

KTP Associates lead strategic projects, bridging the academic and business worlds, which can enhance and fast-track their career. You will also benefit from expert coaching and mentoring. 60% of our KTP associates are offered employment by their host companies at the end of the KTP.

This is a Knowledge Transfer Partnership (KTP) funded by Southern Electric Power Distribution plc (part of SSEN) and Innovate UK.

KTPs are collaborative, three-way partnerships creating positive impact and driving innovation by linking businesses with the UK's world class knowledge bases to deliver innovation projects led by skilled graduates. It is essential you understand how KTP works and the vital role you will play if you secure this position. To learn more please visit: www.aston.ac.uk/ktp

Aston University: You will work in a project team with Prof Abdul Sadka and Dr Hassan Aqeel Khan from Aston University and the Senior Team members at SSEN with further support from an Innovate UK Knowledge Transfer Adviser.

Location: You will be based predominantly at SSEN in Thatcham with regular visits to the Reading offices and the opportunity to visit Perth Headquarters in Scotland. You will also have access to facilities at Aston University in central Birmingham. Some travel to other sites may also be required.

This role is likely to qualify for endorsement under the Endorsed Funder route of the Global Talent visa. This visa is for talented or promising individuals in academia or research in fields such as science, engineering, medicine, social sciences, or humanities.

See the Home Office guidance: https://www.gov.uk/global-talent 

It is an Innovate UK requirement that candidates hold a visa or immigration permission to cover the full duration of the contract. The successful candidate is therefore expected to apply for a visa as necessary in line with their contract duration.

To learn more about this role it is essential you refer to the Job Description documents. For informal enquiries about this role please contact Dr Hassan Aqeel Khan e-mail:, h.khan54@aston.ac.uk

If you think this isn’t the right opportunity for you, please explore other KTP vacancies across the country: https://www.ktp-uk.org/jobs/ 

Aston University is committed to the principles of the Athena SWAN Charter http://www.ecu.ac.uk/equality-charter-marks/athena-swan . We pride ourselves on our vibrant, friendly, supportive working environment and collaborative atmosphere.

Please visit our website https://jobs.aston.ac.uk/Vacancies.aspx for further information and to apply online.  

As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy.

Closing Date: 24 May 2026

Unit: Teaching & Research

Salary: £40,000 per annum

The Aston institute of Photonic Technologies (AiPT) is one of the largest photonics research centres in the UK, pursuing a diverse range of topics at the leading edge including high-speed optical transmission, optical sensing, signal processing, ultra-wide-band amplification, nonlinear photonics, fibre gratings, fibre lasers, bio- and medical photonics, and optical sensing. AiPT is now seeking an outstanding researcher to join AiPT to lead in optical communication or optical sensing areas. 

As the successful applicant you will develop an independent and sustainable research programme and will have demonstrated that their unique capabilities offer synergies with existing AiPT groups, and opportunities to develop new research fields and technologies, with a strong awareness of regional needs. We expect candidates to have a strong and productive track-records of:

• high quality publications 
• a strong portfolio of income 
• invited and keynote presentations
• productive research collaborations 
• technology commercialisation
• research strategy
• contribution to professional bodies
• international prestige
• mentorship 
• management and leadership 
• research environment development 
• successful research related teaching 

This position requires a strong track record in optical communications, optical sensing or neuromorphic computing using photonics. 

For informal enquiries about this position, you can contact Professor, Director of AIPT, Sergei K. Turitsyn, s.k.turitsyn@aston.ac.uk

What we offer:

• Aston University is a vibrant campus located within Birmingham city centre, which has excellent transport links via bus or train.
• Excellent training and development opportunities.
• A generous annual leave scheme with 30 days bookable leave and a further 13 days of bank holiday and University closure days.
• Everyday discounts to a number of activities and retailers.
• Great family-friendly policies.
• On-site gym and pool with discounted staff membership available.
• Further information on our Benefits and Rewards can be found here.

This role may meet the requirements for Skilled Worker visa sponsorship. 

If you require sponsorship, Aston University will assess eligibility if you are shortlisted for the role. 

Please note we are unable to confirm individual eligibility before shortlisting. 

See here for more information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa

Closing Date: 15 Jun 2026

Unit: Teaching & Research

Salary: £67,280 to £104,712 per annum