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.

Various Academic Positions

University of Glasgow

The School of Computing Science is building on its strong performance in REF2014 with the recruitment of four academic staff in priority areas (equivalent to US tenure track Assistant or Associate Professor).

Below you will find a brief description of the priority areas in which we are keen to appoint ambitious academic staff who will complement and strengthen our existing activities.  Four positions are presently available for appointment in Session 2017-18, with further vacancies to be announced in 2018-19.

Centre for Computing Science Education (CCSE)

Edge Computing – GLAsgow SyStems (GLASS)

Glasgow Interactive SysTems (GIST)

Information Retrieval, Machine Learning or Data Systems – Information, Data & Analysis (IDA)

Blockpass Research Developer: Blockpass and the School of Computing at Edinburgh Napier University

Locations: Merchiston Campus, Edinburgh Napier University
Contract: Permanent, Full-Time
Salary: £30,000 – £40,000 p/a

Core Responsibilities:

  • Report weekly to Blockpass management on activity, progress, plans, and challenges within the Lab.
  • Ensure agreed projects and deliverables are appropriately defined and tracked.
  • Provide liaison and ensure good information flows between the University and Blockpass.
  • Understand Blockpass R&D priorities and areas of interest, and ensure other Lab staff are aware of them.
  • Identify research opportunities for the Lab that might contribute to the Blockpass product roadmap.
  • Understand the Lab research outputs, and explain them to other Blockpass technical staff.
  • Develop code to explore forward-looking concepts in conjunction with other Blockpass technical staff based in other locations.
  • Create proof-of-concept prototypes that help to demonstrate new functionality.
  • Assist with organising and running events such as hackathons and conferences.
  • Assist with the writing of Research Grant Applications for joint work between the University and Blockpass.
  • Respond to questions from Blockpass partners and regulatory agencies on topics relating to Lab research or related aspects of Blockpass products.

Preferred Experience and Attributes:

  • University degree in Mathematics or Computer Science or a related discipline
  • Experience in a startup or other small, commercially focussed development team
  • A strong interest in Cryptography and Privacy
  • Exposure to Blockchain and/or other open distributed architectures
  • Able to self-manage, and demonstrate initiative, reliability and consistency
  • Innovative and creative – able to spot opportunities from bringing ideas together
  • Competent in modern Javascript, and in C++or another lower level language

Application Process:
To apply if the above sounds like you, email hr-department@block telling us why you feel you would be a good fit, and attaching your CV.

For more information on Blockpass and this vacancy please see: 

Postdoctoral Research Associate Positions, University of Edinburgh

The School of Informatics, University of Edinburgh invites applications for a Research Associate position to work on a project with Facebook Reality Labs. Two positions are available: one about animating hand-object interactions and another about animating human-human interactions. This is 100% funded research position for three years with annual revision. The successful candidate will be supervised by Dr Taku Komura (University of Edinburgh) and Facebook Reality Labs.

Animating Hand-Object Interactions

Research Purpose:
Automatically generating animation of characters to grasp and manipulate 3D objects, given its geometry, label and action required by the character.

The research result will enable two types of applications in VR:

  • The animation model can be used as a strong prior for tracking virtual humans interacting with virtual or physical objects. Given low dimensional sensor input or tracking artifacts, the animation model can be used to fill in missing details and produce high fidelity output.
  • The motion synthesis technique can be used to animate virtual assistants or companions that interact autonomously with human users in VR in social, productivity, or entertainment activities.

Research Description:
We will use a data-driven approach for achieving this task. More specifically, we will capture the motion of a person grasping and manipulating everyday objects, including mug cups, vases, bags, chairs, tables, boxes, etc. The motion of the objects will also be tracked. An optical motion capture system will be used for this purpose. The collected data will be used to generate synthetic depth images, which correspond to what the character is seeing during the action. An end-to-end deep neural network scheme will be established where the motion of the character at every frame is computed based on the state of the character and the object as captured from motion sensors or image sensors.

The main research tasks will include (a) mapping low dimension or low quality input to high fidelity input, for both hands and the body, with object manipulation motions, (b) predict hand manipulation motions from initial states, including cluttered environment, novel objects, and both hands, (c) extend the second one to full body, and also explore strategic manipulations.

Animating Human-Human interaction

Research Purpose: Developing a statistical human model that can talk to one another, or having physical interactions such as shaking hands, dancing, playing sports, etc.

Research Description:
The purpose of this project is to develop a responsive character model that can interact with each other, or with a real human in real-time. Such a model will be useful for controlling a virtual character to interact with users wearing VR headsets, or animating the interactions between two virtual characters.

We will target two types of interactions: (a) two persons talking to each other, and (b) two persons conducting physical interactions, such as shaking hands, dancing and playing sports.

We will adopt a data-driven approach for achieving this task. The motions of two persons interacting with each other will be captured using an optical motion capture system equipped in the School of Informatics, University of Edinburgh. For the conversation task, we will also record the voices of the subjects. These data will be used to train a statistical model based on deep neural networks. In order to increase the amount of data, we will also do a data augmentation task, where the motions will be edited while the constraints and spatial relations are preserved.

Application Procedure

All applicants should apply online by accessing the link below and clicking the button at the bottom of the website.

The application process is quick and easy to follow, and you will receive email confirmation of safe receipt of your application. The online system allows you to submit a CV and other attachments.

The closing date is 5pm on 29th October.

Funded PhD Studentship, University of Glasgow

The School of Computing Science at the University of Glasgow is offering fully funded PhD Project – Containerised NVF Orchestration and Management

Supervisor(s): Dr Dimitrios Pezaros
Funding Status: UK/EU (EU with more than 3 years in the UK)

Current operations and management (O&M) solutions assume containers are deployed within data centres with single geographic location, high speed communications and high performance infrastructure. However, many network benefits can be obtained if container network functions can be distributed around the network edge. The project would address how to devise network-wide platforms that can manage and interconnect network functions for many customers at scale and over the Internet. We have been using platforms like Openstack as well as our own Glasgow Network Function (GNF)orchestrator and would like to further investigate how such platforms can be designed to work at scale (e.g., billions of small IoT devices) and over heterogeneous environments where network resource utilisation becomes as significant as CPU and memory resource use.

How to Apply: Please refer to the following website for details on how to apply:

Start Date: As soon as possible

Funding: Funding is available to cover tuition fees for UK applicants (EU applicants who have spent at least 3 years in the UK are also eligible), as well as paying a stipend of £18,000 per annum.

Heriot-Watt University (HWU) in Edinburgh, UK welcomes applications for two academic positions in computer games:-

– Assistant/Associate Professor in Games & Interactive Technologies (IRC16342)
– Assistant/Associate Professor in Computer Games (IRC16343)

The posts will be located at our Edinburgh campus which is part of a vibrant game development community and home to various industrial game studios. The posts will be part of our School of Mathematical and Computer Sciences which is internationally renowned in the areas of Interaction, Intelligent Systems, and Rigorous Systems. Details of our research activities can be found online (, Edinburgh creative culture (, and our Discovery and Innovation Centre statement and mission (

Assistant/Associate Professor in Games & Interactive Technologies (IRC16342)

The successful candidate will ideally have expertise in one or more of interactive graphics, virtual and augmented realities, serious games, and interactive narratives. The post-holder would be expected to contribute to the development of games-related undergraduate and postgraduate teaching programmes, and to develop research activities in collaboration with colleagues in our interaction and artificial intelligence research areas.

When applying for this role, please provide a full academic CV that identifies how your skills and experience are a good match for this position, including your research and teaching experience. In your CV, please include the names and contact details for three referees.

Further information about this position is available here: ( and (application site)

Assistant/Associate Professor in Computer Games (IRC16343)

The successful candidate will have professional industry experience including strong technical skills in computer games development, animation and modelling processes, and software engineering throughout development lifecycle of games. The post will involve contributing to our current drive for design-led and interaction education. Furthermore, the post holder will have access to our new Games Studio and Creative Grid facilities currently being developed as part of the Discovery and Innovation Centre.

When applying for this role, please provide a full academic CV that identifies how your skills and experience are a good match for this position. In your CV, please include the names and contact details for three referees. In addition to your CV, you should provide a description of your games development portfolio.

Note that for this position, we will consider applicants who have sufficient professional industry experience in games development who might not hold a PhD.

Further information about this position is available here: ( and (application site)

Further Information & How to Apply

For more information about the above posts and to apply, please visit quoting the respective IRC numbers given above.
Applicants who believe that they meet the requirements for both posts should submit separate applications to each.

Applications can be submitted till Friday, 12th October 2018. Short-listed applicants should expect to be interviewed in the Autumn, with a start date of January 2019 or later (negotiable).

For informal discussion about the position please contact Professor Albert Burger (Head of Computer Science) at or Dr Mike Just (Deputy Head of Computer Science) at

University of Strathclyde Doctoral Training Centre in Digital Health Implementation & Analytics

PhD Project Title: mHealth & Health Analytics Intervention to Support Patients with Advanced Chronic Kidney Disease

The DTC external partners currently include the Scottish Government Technology Enabled Care Programme, the Digital Health and Care Institute (DHI) and the Queen Elizabeth University Hospital (QEUH).

The ‘Digital Health Implementation & Analytics’ DTC is a multi-disciplinary postgraduate training centre of excellence in the development, implementation and integration of innovative digital and data science technologies in health and social care.

The DTC is led by the University of Strathclyde Department of Computer and Information Sciences (Digital Health & Data Analytics) and University partners include the Department of Mathematics and Statistics, the Strathclyde Institute of Pharmacy and Biomedical Sciences and the Strathclyde Business School.

The DTC will provide multi-disciplinary supervision, with the PhD supervisors including academics from 2 different departments within the University as well as an external partner from the partnering organisation.

  • Each PhD student will undertake an individualised training programme designed to suit his particular training needs; both for the completion of the PhD project as well as to provide long-term transferable skills.
  • The PhD scholarships are for 3.5 years (42 months) and cover tuition fees and stipend and also include a generous research and conference travel budget.

For more information on this opportunity along with application details, please refer to: Strathclyde Dig. Health PhD Scholarship Sep. 2018 

Research Studentship (PhD), Robert Gordon University

Applications are sought for a fully funded PhD studentship in Computing Interaction lab (RGUx)

Duration and Funding
The project will be 36 months duration, commencing in February 2019. The studentship is funded by Robert Gordon University (RGU), and includes tuition fees (at Home/EU or International level) as well as a tax-free stipend of £14,777 per annum for three years.

Proposed Research
The proposed research will design and develop a multidisciplinary framework (described as an Immersive Community) for culture heritage preservation and policy studies to support decision-making, communication, public engagement and tourism.

Working with The Scott Sutherland School of Architecture and Built Environment at RGU, this PhD candidate is required to investigate the technologies in both areas, and bridge the gaps existing cross two disciplines. The student will work on computational algorithms and methods to process and analysis 3D scanned point cloud data and explore frontier digital technologies of 3D scanning and Drone Deployment, Immersive Technologies, BIM and Visibility Analysis to record, process and present digital data of the sustainable preservation of Cultural Heritage. The HCI (Human Computer Interaction) framework designed and developed on project will be a platform for gaining and sharing knowledge of relevant users.

As computing scientists, we are mainly focused on providing the research on HCI domain on chosen topic, especially on 3D visualizations on scene rendering and gamifications; research methodologies on immersive user interaction; AR mobile application and WebVR design and development; algorithms development on Point Cloud Data analysis. Analysis and interpretation of point cloud data generated from 3D scanners, textured 3D models of selected listed buildings will be used to aid decision making in relation to design and assessments of risk, prior to work starting on construction.

Key Skills 
Applicants should have a very good Honours degree or a Masters at Distinction level in Computing Science or related discipline.Knowledge and Experience: 
  • Strong skills in Unity and programming skills on C# for Unity;
  • 3D Graphic and user centered design knowledge at undergraduate level;
  • Knowledge on Point Cloud data and Immersive Technologies;
  • Strong web programming skills on HTML, PHP, Javascript, WebVR library etc.
Desirable requirements 
  • Knowledge on BIM solutions;
  • Programming Skills on C++;
  • Applicants should have good personal and communication skills, strong professionalism and integrity and be confident working on their own initiative.
Applications should be emailed to Virginia Dawod at  by 12 noon on Monday 29th October 2018. The applications should consist of a covering letter or personal statement of interest, and CV. Further information such as passport details or transcripts may be requested during the short-listing stage. Interviews are expected to take place on weeks commencing 5th or 12th November 2018.All enquiries should be addressed to Dr Yang Jiang, 

Placements for PhD Students

e-Placement Scotland is funded by the SFC to work with the digital sector to provide paid, quality placements for computing students across Scotland’s universities and colleges.  They currently have the following placements available aimed at PhD students.

Language Modelling Scientist, Edinburgh (Ref 903)
Voysis is looking for a Language Modeling Scientist to focus on end-to-end based deep learning approaches to language modelling for an initial placement period of 12 months.

Skills and Qualifications:
Working towards a Ph.D. in relevant topic
Excellent attention to detail required
Ability to focus on hard problems and develop novel techniques to tackle them
Experience with the terminal environment in Linux
Experience with deep learning methods, LSTM-RNN, and Convnet in particular
Experience using scalable compute methods and infrastructure

Apply here:

Text To Speech / Wavenet Scientist, Edinburgh, (Ref 904)
Voysis is looking for Text To Speech Scientists to participate in the company’s ongoing R&D of raw waveform synthesis (Wavenet) in either our Dublin or Edinburgh city centre offices initially for a placement period of 12 months.

Participate in the ongoing R&D of the latest TTS technologies and methods
Focus on high impact, high quality research with strict research methodologies including
reproducibility and documentation
Actively participate in code reviews and code refactoring

Skills and Qualifications required
Working towards a Ph.D. in computer science or equivalent required
Excellent attention to detail is essential
Experience working in a Unix/Linux development environment
Strong publication track record or significant experience in industry
Strong verbal and written communication skills and autonomy are essential

Apply here:–wavenet-scientist-east-scotland-edinburgh-904/apply.aspx

Deep Learning Scientist – Edinburgh (Ref 905)
Voysis is looking for Deep Learning Scientists to participate in the company’s ongoing modelling of speech and language data from our office in either our Dublin or Edinburgh city centre offices on an initial placement period of 12 months.

Develop repeatable modelling recipes and techniques for models across a wide range of domains: ASR, TTS, NLP, NLU, NLG
Focus on high impact, high quality research with strict research methodologies including reproducibility and documentation
Actively participate in code reviews and code refactoring

Skills and qualifications desired:
Working towards a Ph.D. in computer science or equivalent required
Excellent attention to detail is essential
Experience working in a Unix/Linux development environment
Strong publication track record or significant experience in industry
Strong verbal and written communication skills and autonomy are essential

Apply here: