SICSA continues to grow as a world-class pool of researchers in Informatics and Computing Science and there are a range of vacancies occurring regularly across the SICSA member Universities.

This page also features vacancies from industrial employers seeking to recruit graduates in Informatics and Computing Science. Please note that all applications to external vacancies (outside SICSA) must be made directly to the advertising institution or organisation and not via SICSA.

The Data Lab PhD Placement Programme

Closing Date: Rolling Call/Applications will be accepted at any time.

This programme is open to PhD students across Scotland studying in data and AI-related fields to undertake a short placement with industry partners. There is funding available to provide up to 50 industry placements for PhD students in Scotland over the next two years.

It is a unique opportunity for students to apply their academic expertise in a work environment (placements available will be across sectors) and for organisations to benefit from access to these skills with resources providing a dedicated focus to the chosen project.

Examples include:
  • Working on a Proof of Concept,
  • Contributing to a Research Paper,
  • Overcoming a business problem using data
Industry placements – Information for organisations

We are looking to partner with start-ups, SMEs and larger organisations from all areas of industry – private, public and third sector – to scope out interesting data science projects to match with PhD students.

The placements will typically provide organisations with up to 10 days of access to a suitable PhD student who would carry out a short project or piece of research for them (on a continuous (2 week) or intermittent (up to 8 week) basis). We will work with host organisations to help shape a suitable project and ensure that a relevant student is matched to your chosen project.

The students will be employed and paid for their time. There is no financial cost to the organisation or requirement to employ the student in order to participate in the programme.

Organisations based in Scotland are welcome to register their interest to discuss a potential research project or opportunity:

The Data Lab PhD Placement – Project Proposal Form

Alternatively, please email our Placement Coordinator Cheryl Stewart for further information.


About us;

Following a period of growth and expansion, we are in the exciting early stages of developing our consultancy and data services business areas and are looking for candidates who are not only capable of working within our customer embedded teams, but who also have a desire to challenge themselves, learning new technologies and skills and progress within the company as opportunities arise.

We actively encourage and support our employees with personal development and are focused on ensuring our employees are at the core of our future business model.

Job Title: Developer

This role is predominantly home based with occasional travel to our Gloucester office as required. Additionally, there may be a requirement to travel to customer sites on an infrequent basis.

As a developer you will be working within a small team of specialists providing expertise to a large client developing predominantly opensource technologies to address bespoke requirements.

A part of this role will include publishing improvements back to opensource projects so a familiarity with working on opensource projects would be beneficial.

Due to the nature of small team working, you will be expected to assist in areas outside of code development and will be actively engaged as a team member providing technical expertise in design workshops, highlighting improvements and identifying opportunities for enhancements.

You will be required to have deep technical knowledge of at least one core programming language with the ability to comfortably work with others. Knowledge of a wide range of DevOps related technologies and a good working understanding of testing and architecture practices as a whole will also be beneficial.

Key technologies;

  • ElasticSearch
  • Kibana
  • Apache Nifi
  • Java
  • Golang
  • Docker
  • Python
  • Ansible

Key Skills:

A proven history working with the technologies defined.

The ability to successfully communicate ideas and technical details to a wide audience with varying levels of system knowledge.

Able to work within an agile team to defined deadlines

Security clearance or a willingness to undergo clearance is preferred.

What you will get from us: –

  • Base Salary of £45-75k depending on experience
  • Employer pension contribution of 6%
  • £4k per year training budget
  • 25 days holiday per year (not including bank holidays)
  • Travel expenses paid
  • Yearly bonus based on line manager reviews
  • Office equipment as required
  • Access to employee car purchase schemes

Job Title: DevOps Engineer

This role is predominantly home based but there may be a requirement to travel to customer sites on an infrequent basis.

As a DevOps specialist you will provide technology specific knowledge and skills within one of our project teams. You will work under the guidance of the project technical lead to define and clarify tasking relevant to the wider project aims and then work with the wider team to deliver those tasks within defined sprint cycles.

There may be a requirement to step out of the project team and provide ad-hoc assistance on additional tasks.

What we want from you;

A demonstratable understanding of key DevOps technologies and a willingness to learn or improve as opportunities arise.

A good working knowledge of the following technologies is required:-

  • Terraform
  • Docker
  • Python
  • Ansible
  • Cloud technologies (AWS)

A willingness to step out of your comfort zone and get involved in other areas of the business. All of our employees have access to a generous training package and we always actively encourage staff to upskill.

Security clearance or the willingness to undertake clearance. Some of our customers require differing levels of security clearance and if possible, our staff are encouraged to undertake this process.

What you will get from us: –

  • Base Salary of £45-75k depending on experience
  • Employer pension contribution of 6%
  • £4k per year training budget
  • 25 days holiday per year (not including bank holidays)
  • Travel expenses paid
  • Yearly bonus based on line manager reviews
  • Office equipment as required
  • Access to employee car purchase schemes
  • Free refreshments in office


  • DevOps Engineer
  • £45-£75k base package
  • Significant potential to progress

An exciting opportunity to join a growing IT company with an employee focused approach and an excellent reputation.
If you are interested in the above vacancies within smartDCS please contact Chris Skinner <> for more details.

PICTURES Data Scientist, AI and Imaging Data Expert – UOD723

University of Dundee – School of Medicine

We are recruiting for an enthusiastic individual to join us as a PICTURES Data Scientist, AI and Imaging Data Expert (Grade 7) within the Division of Imaging Science and Technology.

The successful candidate will work within the PICTURES/PIPaRD research group. The Prediction of Individual Risk of Dementia (PIPaRD) research group is a sub-project within the Interdisciplinary Collaboration for efficient and effective Use of clinical images in big data healthcare research (PICTURES) programme, which is a Medical Research Council funded Grant that has been running since 2019. The work will develop quantitative predictors of future dementia risk for individual patients, using routinely acquired NHS brain scan data supplemented by genetics and clinical data where available.

Your priorities will include:

  • Optimise an existing dementia predictor and data pre-processing pipeline for improved accuracy and scalability, using local and national healthcare data (predominantly medical imaging) within a safe haven environment.
  • Perform research related to the major goals of the project.
  • Write up results for progress reports and publications.
  • Good written and oral communication skills, having the ability to clearly communicate research.
  • The post holder may be involved in the training and supervision of summer/ undergraduate/ MSc students and visiting staff, as necessary.

Who we’re looking for:

  • Honours BSc and/or MSc degree in data science or mathematics or computer science or engineering – a relevant PhD is preferable but not essential (post will be graded accordingly).
  • Extensive background in data science/mathematics/computing/engineering.
  • Well organised, conscientious, and reliable.
  • Excellent computational skills


The post holder will be based within the Division of Imaging Science and Technology, School of Medicine on the Ninewells Campus. The post holder can be located anywhere within the UK working remotely but must be willing to travel for face-to-face meetings on the Dundee or Edinburgh campus at least once every quarter.

University of Dundee

The University of Dundee is one of the UK’s leading universities and is internationally recognised for its expertise across a range of disciplines including science, medicine, and engineering. The calibre of research at Dundee is high, with 95 per cent of staff working in areas of national or international excellence. Dundee benefits from a developed network of inter-disciplinary researchers collaborating across various Schools across our community.

The University of Dundee is a signatory of the Researcher Development Concordat and is committed to enhancing the research environment and culture. Engagement and support of activities which assist the researcher development agenda at the University is therefore essential.

The diversity of our staff and students helps to make the University of Dundee a UK university of choice for undergraduate, postgraduate and distance learning. Family friendly policies, staff networks for BME, Disabled and LGBT staff, membership of Athena SWAN, the ECU Race Equality Charter and Stonewall as well a full range of disability services, create an enjoyable and inclusive place to work.

Further Information

Please contact Professor Douglas Steele at

Application: If you are interested in this position, please apply here