Lecturer in Computer Systems/Hardware Design

Lecturer in Computer Systems/Hardware Design Apply
Post Details

Full time

Open ended

The closing date for applications is midnight on Thursday 04 January 2024.

Interviews are expected to take place on Wednesday 31 January 2024.

There is an expectation that work will be undertaken in the UK.

For the purposes of sponsorship, this is a postdoctoral role under SOC code 2311.

The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers and welcome applications from those who would contribute to further diversification of our staff and ensure that equality, diversity and inclusion is woven into the substance of the role. We strongly encourage applications from people from diverse backgrounds including gender, identity, race, age, class, and ethnicity.

The Post

The Division of Computing Science and Mathematics at the University of Stirling is seeking to appoint a grade 7 teaching and research lecturer with expertise in computer systems and AI hardware design including FPGA design, microcontroller programming, embedded systems and computer architecture. Other desirable expertise includes Internet of Things, edge computing, sensor networks and wireless networks, and systems programming with C or C++. Applicants with experience in artificial/ spiking neural networks, computational neuroscience (predictive coding; sparse coding; continuous learning; competitive learning; neural information processing; dendritic computation; cortical feedback connections; cortical region interactions), strong algorithmic background, python/ deep learning APIs, libraries and algorithms are particularly encouraged to apply.

You must have a developing track record of excellence and you will be expected to generate high quality research outputs and grant income, working within our existing research teams. You will have a clear vision for your own research career, a strategy for achieving that vision, and a desire to collaborate with researchers at Stirling and from around the world. We will support you as you grow your research network at home and abroad. We also welcome applicants with high quality industrial networks and experience of collaborations with commercial organisations.

You will manage cohorts of students from around the world, providing support both online and face to face. You will support our undergraduate and postgraduate programmes and help run other offerings such as micro-credentials and our graduate apprenticeship programme. You will help to develop teaching materials, support students using a variety of communication channels, create and mark assessments, and provide quality feedback. You will also explore and develop new ways of improving the experience for online students in terms of learning, cohort building, and delivering fair effective assessment. You will have experience of teaching a number of the key skills such as programming, cyber security, computer systems and networks, machine learning, database design, software engineering, cloud computing and artificial intelligence. You will have experience and an enthusiasm for innovative teaching practices using new technology and new patterns of delivery. Applications from candidates with industrial experience are encouraged. Applicants should state clearly and concisely how they satisfy the criteria described above in their application letter.

Informal enquiries to Prof Kevin Swingler, Head of Division: [email protected]

Description of Duties

• Engage in individual and collaborative research, which aligns to the strategic direction of the University, develop a programme of research and disseminate results through regular publication in high impact journals, books and conference proceedings
• Identify appropriate sources of funding, prepare research proposals for funding bodies and manage grants awarded
• Supervise research students as required, providing direction, support and guidance
• Design and deliver a range of teaching and learning, supervision and assessment activities across undergraduate, postgraduate including online/digital programmes where required
• Participate in the Faculty’s international engagement activities as required e.g delivering teaching, contributing to joint programmes and recruitment of students
• Participate in, and develop, networks and collaborations both internally and externally to the Division/Faculty/University
• Participate in the administrative processes of the Division/Faculty/University including committee membership, quality assurance procedures and recruitment and admission of students
• Any other duties, commensurate with the grade of the post

Essential Criteria

Qualifications

• PhD in relevant discipline or close to successful completion

Knowledge, Skills & Experience

• Evidence of a developing publication record 
• Credible plans for the active pursuit of external research funding
• Experience or knowledge to design, teach and assess modules in the subject area
• Evidence of the ability to deliver excellent teaching at undergraduate and/or postgraduate level 

Desirable Criteria

Qualifications

• Higher Education teaching qualification or equivalent e.g. PGCert and/or holding or working towards Associate Fellow of Higher Education Academy (HEA)
  

Knowledge, Skills & Experience

• Evidence of success in attracting research grants/external funding and delivering on externally funded research projects
• Experience of supervising dissertations and research projects
• Demonstrate a broad understanding of effective approaches to teaching and learning support as key contributions to high quality student learning
• Evidence or knowledge to support international activities
• Evidence of a basic knowledge of the Higher Education context and regulatory framework

Behaviours and Competencies

The role holder will be required to evidence that they can meet the qualities associated with the following behavioural competencies, as detailed within the AUA Competency Framework.

Managing self and personal skills
Being aware of your own behaviour and mindful of how it impacts on others, enhancing personal skills to adapt professional practice accordingly.

Delivering excellent service
Providing the best quality service to external and internal clients. Building genuine and open long-term relationships in order to drive up service standards.

Finding solutions
Taking a holistic view and working enthusiastically to analyse problems and to develop workable solutions. Identifying opportunities for innovation.

Embracing change
Being open to and engaging with new ideas and ways of working. Adjusting to unfamiliar situations, shifting demands and changing roles.

Using resources effectively
Identifying and making the most productive use of resources including people, time, information, networks and budgets.

Engaging with the wider context
Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values.

Developing self and others
Showing commitment to own ongoing professional development. Supporting and encouraging others to develop their professional knowledge, skills and behaviours to enable them to reach their full potential.

Working together
Working collaboratively with others in order to achieve objectives. Recognising and valuing the different contributions people bring to this process.

Achieving Results
Consistently meeting agreed objectives and success criteria. Taking personal responsibility for getting things done.

About Us

Faculty of Natural Sciences (FNS)

The Division of Computing Science and Mathematics is part of the Faculty of Natural Sciences (FNS) which also encompasses the Divisions of Biological and Environmental Sciences, Psychology and the Institute of Aquaculture. The FNS is a distinctive academic arena where new fundamental understandings of the complex and challenging inter-relationships between human behaviours, technologies, biological, environmental and aquatic systems are created, explored and tested. Results of REF2022 confirmed that our research is world leading and internationally excellent. It is supported through UK Research Councils, European Union and a range of research charities. We work with businesses and public service organisations both at home and overseas to achieve direct and positive outcomes for society across a range of critical problems.

 

Computing Science and Mathematics (CSM)

The research strength of CSM is underpinned by its inherent inter-disciplinary nature, which exploits synergies between Computing Science, Mathematics, Life Sciences (including Biology, Aquaculture, Environmental Science and Neuroscience), Social Science and Management. This positions us well to exploit growing funding opportunities and to develop strong student interest beyond computing, into applications in biological and biomedical systems, environmental and ecological systems, business and management, and societal issues. Research questions in CSM are investigated within the context of a broad range of real-world domains. Consequently, our research has a strong focus on stakeholder engagement, and it addresses key industrial and societal challenges in partnership with a wide network of collaborators from across industry, commerce and the public sector. Our research is led by 24 active researchers and is conducted in three complementary research groups: Data Science and Intelligent Systems, Biological Modelling, and Computational Mathematics and Optimisation, as well as a Special Interest Group on Computer Vision and Image Processing; all have the common theme of investigating complex systems in uncertain and dynamic real world environments. We deliver high quality teaching on a range of undergraduate, postgraduate and online programmes. Computing Science at Stirling is ranked 7th in the UK for teaching in the 2022 Guardian Best University guide and 8th in the UK in the 2021 NSS rankings. Our undergraduate provision includes Computing Science, Software Engineering, Data Science, Applied Mathematics, and Software Development with Cyber Security. Our MSc programmes span different aspects of data science and include the MScs in Big Data, Artificial Intelligence, Mathematics & Data Science, and Fintech. Some of our undergraduate and postgraduate programmes are also delivered in partnership with overseas education providers.

 

The University

The University of Stirling is committed to providing education with a purpose and carrying out research which has a positive impact on communities across the globe – addressing real issues, providing solutions, and helping to shape society. Stirling is 4th in Scotland and 43rd in the UK for research impact, with 87% of its research having an outstanding or very considerable impact on society – and more than 80% rated either world leading or internationally excellent (Research Excellence Framework 2021).

The University of Stirling is ranked among the top 30 UK universities for student satisfaction (National Student Survey) and top 30 in the UK for postgraduate student experience (Postgraduate Taught Experience Survey), and has an overall five-star rating in the QS Stars University Ratings.

More than 17,000 students study with the University of Stirling globally, with over 140 nationalities represented on its scenic central Scotland campus alone. The University – also home to 1,700 staff – is ranked first in the UK and top three in the world for its campus environment (International Student Barometer 2022, wave two). Ranked first in the UK and top five in the world for its sports facilities (International Student Barometer 2022, wave two), Stirling is Scotland's University for Sporting Excellence. Its world-class facilities provide the perfect training environment for the University’s sports scholars – many of whom compete at the highest level, including at the Olympics and Commonwealth Games – and for students, staff, and the wider community.

The University has twice been recognised with a Queen's Anniversary Prize – the first for its Institute for Social Marketing and Health (2014) and the second for its Institute of Aquaculture (2019).

The University is a signatory to the £214 million Stirling and Clackmannanshire City Region Deal and a central partner of the Forth Valley University College Health Partnership.

www.stir.ac.uk @stiruni

 

Job number

FAC01879

Contract Type

Open Ended

Posting End Date

04-Jan-2024

Location:

Stirling Campus

Grade

Grade7 £37,099-£44,263 p.a.

Faculty/Service

Faculty of Natural Sciences

Post Details

Full time

Open ended

The closing date for applications is midnight on Thursday 04 January 2024.

Interviews are expected to take place on Wednesday 31 January 2024.

There is an expectation that work will be undertaken in the UK.

For the purposes of sponsorship, this is a postdoctoral role under SOC code 2311.

The University of Stirling recognises that a diverse workforce benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers and welcome applications from those who would contribute to further diversification of our staff and ensure that equality, diversity and inclusion is woven into the substance of the role. We strongly encourage applications from people from diverse backgrounds including gender, identity, race, age, class, and ethnicity.

The Post

The Division of Computing Science and Mathematics at the University of Stirling is seeking to appoint a grade 7 teaching and research lecturer with expertise in computer systems and AI hardware design including FPGA design, microcontroller programming, embedded systems and computer architecture. Other desirable expertise includes Internet of Things, edge computing, sensor networks and wireless networks, and systems programming with C or C++. Applicants with experience in artificial/ spiking neural networks, computational neuroscience (predictive coding; sparse coding; continuous learning; competitive learning; neural information processing; dendritic computation; cortical feedback connections; cortical region interactions), strong algorithmic background, python/ deep learning APIs, libraries and algorithms are particularly encouraged to apply.

You must have a developing track record of excellence and you will be expected to generate high quality research outputs and grant income, working within our existing research teams. You will have a clear vision for your own research career, a strategy for achieving that vision, and a desire to collaborate with researchers at Stirling and from around the world. We will support you as you grow your research network at home and abroad. We also welcome applicants with high quality industrial networks and experience of collaborations with commercial organisations.

You will manage cohorts of students from around the world, providing support both online and face to face. You will support our undergraduate and postgraduate programmes and help run other offerings such as micro-credentials and our graduate apprenticeship programme. You will help to develop teaching materials, support students using a variety of communication channels, create and mark assessments, and provide quality feedback. You will also explore and develop new ways of improving the experience for online students in terms of learning, cohort building, and delivering fair effective assessment. You will have experience of teaching a number of the key skills such as programming, cyber security, computer systems and networks, machine learning, database design, software engineering, cloud computing and artificial intelligence. You will have experience and an enthusiasm for innovative teaching practices using new technology and new patterns of delivery. Applications from candidates with industrial experience are encouraged. Applicants should state clearly and concisely how they satisfy the criteria described above in their application letter.

Informal enquiries to Prof Kevin Swingler, Head of Division: [email protected]

Description of Duties

• Engage in individual and collaborative research, which aligns to the strategic direction of the University, develop a programme of research and disseminate results through regular publication in high impact journals, books and conference proceedings
• Identify appropriate sources of funding, prepare research proposals for funding bodies and manage grants awarded
• Supervise research students as required, providing direction, support and guidance
• Design and deliver a range of teaching and learning, supervision and assessment activities across undergraduate, postgraduate including online/digital programmes where required
• Participate in the Faculty’s international engagement activities as required e.g delivering teaching, contributing to joint programmes and recruitment of students
• Participate in, and develop, networks and collaborations both internally and externally to the Division/Faculty/University
• Participate in the administrative processes of the Division/Faculty/University including committee membership, quality assurance procedures and recruitment and admission of students
• Any other duties, commensurate with the grade of the post

Essential Criteria

Qualifications

• PhD in relevant discipline or close to successful completion

Knowledge, Skills & Experience

• Evidence of a developing publication record 
• Credible plans for the active pursuit of external research funding
• Experience or knowledge to design, teach and assess modules in the subject area
• Evidence of the ability to deliver excellent teaching at undergraduate and/or postgraduate level 

Desirable Criteria

Qualifications

• Higher Education teaching qualification or equivalent e.g. PGCert and/or holding or working towards Associate Fellow of Higher Education Academy (HEA)
  

Knowledge, Skills & Experience

• Evidence of success in attracting research grants/external funding and delivering on externally funded research projects
• Experience of supervising dissertations and research projects
• Demonstrate a broad understanding of effective approaches to teaching and learning support as key contributions to high quality student learning
• Evidence or knowledge to support international activities
• Evidence of a basic knowledge of the Higher Education context and regulatory framework

Behaviours and Competencies

The role holder will be required to evidence that they can meet the qualities associated with the following behavioural competencies, as detailed within the AUA Competency Framework.

Managing self and personal skills
Being aware of your own behaviour and mindful of how it impacts on others, enhancing personal skills to adapt professional practice accordingly.

Delivering excellent service
Providing the best quality service to external and internal clients. Building genuine and open long-term relationships in order to drive up service standards.

Finding solutions
Taking a holistic view and working enthusiastically to analyse problems and to develop workable solutions. Identifying opportunities for innovation.

Embracing change
Being open to and engaging with new ideas and ways of working. Adjusting to unfamiliar situations, shifting demands and changing roles.

Using resources effectively
Identifying and making the most productive use of resources including people, time, information, networks and budgets.

Engaging with the wider context
Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values.

Developing self and others
Showing commitment to own ongoing professional development. Supporting and encouraging others to develop their professional knowledge, skills and behaviours to enable them to reach their full potential.

Working together
Working collaboratively with others in order to achieve objectives. Recognising and valuing the different contributions people bring to this process.

Achieving Results
Consistently meeting agreed objectives and success criteria. Taking personal responsibility for getting things done.

About Us

Faculty of Natural Sciences (FNS)

The Division of Computing Science and Mathematics is part of the Faculty of Natural Sciences (FNS) which also encompasses the Divisions of Biological and Environmental Sciences, Psychology and the Institute of Aquaculture. The FNS is a distinctive academic arena where new fundamental understandings of the complex and challenging inter-relationships between human behaviours, technologies, biological, environmental and aquatic systems are created, explored and tested. Results of REF2022 confirmed that our research is world leading and internationally excellent. It is supported through UK Research Councils, European Union and a range of research charities. We work with businesses and public service organisations both at home and overseas to achieve direct and positive outcomes for society across a range of critical problems.

 

Computing Science and Mathematics (CSM)

The research strength of CSM is underpinned by its inherent inter-disciplinary nature, which exploits synergies between Computing Science, Mathematics, Life Sciences (including Biology, Aquaculture, Environmental Science and Neuroscience), Social Science and Management. This positions us well to exploit growing funding opportunities and to develop strong student interest beyond computing, into applications in biological and biomedical systems, environmental and ecological systems, business and management, and societal issues. Research questions in CSM are investigated within the context of a broad range of real-world domains. Consequently, our research has a strong focus on stakeholder engagement, and it addresses key industrial and societal challenges in partnership with a wide network of collaborators from across industry, commerce and the public sector. Our research is led by 24 active researchers and is conducted in three complementary research groups: Data Science and Intelligent Systems, Biological Modelling, and Computational Mathematics and Optimisation, as well as a Special Interest Group on Computer Vision and Image Processing; all have the common theme of investigating complex systems in uncertain and dynamic real world environments. We deliver high quality teaching on a range of undergraduate, postgraduate and online programmes. Computing Science at Stirling is ranked 7th in the UK for teaching in the 2022 Guardian Best University guide and 8th in the UK in the 2021 NSS rankings. Our undergraduate provision includes Computing Science, Software Engineering, Data Science, Applied Mathematics, and Software Development with Cyber Security. Our MSc programmes span different aspects of data science and include the MScs in Big Data, Artificial Intelligence, Mathematics & Data Science, and Fintech. Some of our undergraduate and postgraduate programmes are also delivered in partnership with overseas education providers.

 

The University

The University of Stirling is committed to providing education with a purpose and carrying out research which has a positive impact on communities across the globe – addressing real issues, providing solutions, and helping to shape society. Stirling is 4th in Scotland and 43rd in the UK for research impact, with 87% of its research having an outstanding or very considerable impact on society – and more than 80% rated either world leading or internationally excellent (Research Excellence Framework 2021).

The University of Stirling is ranked among the top 30 UK universities for student satisfaction (National Student Survey) and top 30 in the UK for postgraduate student experience (Postgraduate Taught Experience Survey), and has an overall five-star rating in the QS Stars University Ratings.

More than 17,000 students study with the University of Stirling globally, with over 140 nationalities represented on its scenic central Scotland campus alone. The University – also home to 1,700 staff – is ranked first in the UK and top three in the world for its campus environment (International Student Barometer 2022, wave two). Ranked first in the UK and top five in the world for its sports facilities (International Student Barometer 2022, wave two), Stirling is Scotland's University for Sporting Excellence. Its world-class facilities provide the perfect training environment for the University’s sports scholars – many of whom compete at the highest level, including at the Olympics and Commonwealth Games – and for students, staff, and the wider community.

The University has twice been recognised with a Queen's Anniversary Prize – the first for its Institute for Social Marketing and Health (2014) and the second for its Institute of Aquaculture (2019).

The University is a signatory to the £214 million Stirling and Clackmannanshire City Region Deal and a central partner of the Forth Valley University College Health Partnership.

www.stir.ac.uk @stiruni

 

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