Vacancies

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.


SICSA Research Theme Leaders

Applications are invited from members of academic staff working within any SICSA member institution for the role of SICSA Research Theme Leader.  There are two positions available:

  1. SICSA Research Theme Leader for Artificial Intelligence
  2. SICSA Research Theme Leader for Human Computer Interaction

The roles both commence on 1st August 2018 for a two-year period, initially.

For more information on the roles and to apply, please download the documentation below.

Theme Leaders Role Description

Application Form_SICSA Theme Leaders

Closing Date: 30th June 2018


SICSA Graduate Academy Director

Applications are invited from members of academic staff working within any SICSA member institution for the role of SICSA Graduate Academy Director.

The role commences on 1st August 2018 for a two-year period, initially.

For more information on the role and to apply, please download the documentation below.

SGA Director Role Description

SGA Director Application Form

Closing Date: 30th June 2018


Two Fully Funded PhD Studentships in Cybersecurity at the University of Strathclyde’s Security Group

The studentships below are for 3.5 years, and include tuition fees and a competitive stipend. Interested applicants are welcome to contact ng@cis.strath.ac.uk or shishir.nagaraja@strath.ac.uk.

Fully Funded PhD in Network Security and Privacy

A fully funded PhD studentship is available in the area of Network Security and Privacy. The PhD topic is fairly flexible however applicants interested in working at the intersection of software engineering, control theory, network security, or communications theory are particularly welcome. Students should be skilled programmers with an interest in the foundations of: statistics, distributed systems, and networks.

Fully Funded PhD on the Cybersecurity of Connected and Autonomous Ships

A fully funded PhD studentship is available on the cybersecurity of passenger ships. Modern ships are growing in size and complexity. A particularly new trend is the integration of complex sensing technologies with onboard Internet connectivity and remote management. This throws up a number of security challenges from the durability of software within ships (that last ~50 years) to providing safety guarantees of software-define components onboard.  Students will need to perform security analysis, develop attacks, and build defences, so hands-on skills including programming skills are required. In addition a strong fundamentals in any area of machine learning, statistics, networks, privacy, signal processing, cryptography, or security will be a significant plus.

Up to Five Funded PhD Studentships in Blockchain, Identity and Cryptography at Edinburgh Napier University

Applications are invited for up to five fully funded 3-year PhD studentships within the School of Computing. The studentships will cover the UK/European Union rate of tuition fees and will include a standard living allowance at the RCUK rate (currently £14,553 p.a.). Applicants from outside of the European Union will have to demonstrate that they have sufficient funds to top up the fees to the overseas rate.

The studentships are expected to start on 1st October 2018. All applications must be received by 18 June 2018.

Project Description

The School of Computing at Edinburgh Napier University, in collaboration with Blockpass, has set up an Advanced Blockchain Identity Lab on the Merchiston Campus (named the Blockpass Identity Lab). This lab aims to support world-leading research related to cryptography and Blockchain, and their linkage to sovereign identity, light-weight cryptography, quantum cryptography, and IoT (Internet of Things).

The lab is now offering up to five PhD studentships, which will investigate key areas of identity, IoT, light-weight cryptography, privacy and smart contracts. A key focus will be on areas such as privacy preserving methods, trusted smart contracts, and in the integration of trust, governance and consent around Blockchain.

Candidate Profile

Academic qualifications

A first degree (at least a 2.1) ideally in Computer Science, Mathematics, Engineering or related areas with a good fundamental knowledge of computer science, computer coding and computer security.

English language requirement

IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications may be accepted, full details of the University’s policies are available on the application page  https://www.napier.ac.uk/research-and-innovation/research-degrees/application-process

Essential attributes

  • Experience of fundamental computer science areas, including a background in computer security.
  • Competent in computer coding.
  • Knowledge of computer security methods, including the fundamentals of cryptography.
  • Good written and oral communication skills
  • Strong motivation, with evidence of independent research skills relevant to the project
  • Good time management

Desirable attributes

A strong desire to build new trusted architectures, which integrate privacy and trust.

How to apply

For further information and to submit an online application please visit  https://www.napier.ac.uk/research-and-innovation/research-degrees/application-process and select the appropriate link for full-time or part-time School of Computing applications.


Two Fully Funded PhD Studentships in Cybersecurity at the University of Abertay’s Social Innovation Project

Each PhD studentship provides a package valued at around £70,000. This includes a fully funded tax free stipend of £14,777 per year over 3.5 years, tuition fees, travel and equipment.

Apply here before 28 May 2018: https://www.abertay.ac.uk/about/working-at-abertay/jobs/

Mapping for Social Innovation Project: Qualitative mapping of needs

The Organisation for Economic Co-operation and Development (OECD, 2011) defines Social Innovation as ‘improving the welfare of individuals and community through employment, consumption or participation, its expressed purpose being therefore to provide solutions for individual and community problems’ OECD (2011). Social innovation is a participatory and bottom-up process which offers creative answers to social needs. Its impact is in its power to improve the quality of people’s lives and satisfy needs which do not find solutions from the usual institutional channels.

We are launching an ambitious Social Innovation initiative in the city of Dundee in Scotland and, at this stage, we will concentrate on an extensive mapping of needs and potentials of the local community, using both and together qualitative research and data science and visualisation.

This project will bootstrap a Social Innovation initiative, centred on the city of Dundee, particularly where there are areas of disadvantage and gap in the delivery of provisions. The investigation will focus on exploring how to build user-driven and sustainable social innovation initiatives. The project will investigate areas not provided by, or funded, via traditional public and private sources and will start a process for proposing potential solutions. Core to the this project will in particular be a strong emphasis on mapping existing activities, people’s and charities’ needs, with the intent to provide a comprehensive overview of the situation and begin exploring some areas of intervention and foresee potential Social Innovation Solutions.
The approach we propose places particular emphasis on working closely with various local groups to identify the existing gaps and the forms of social innovation that would benefit them. The actual direct outcomes will be determined through an initial mapping and exploration phase, in collaboration with the local community. We believe that the mapping phase can have an impact well beyond the scope of the project itself and it has added value for the activities of a variety of potential actors (such as trusts, philanthropists), especially around their planning and supporting activities.

Initial in-depth mapping is required in order to understand the most pressing needs of the local community. The mapping will support assessing those needs which offer the potential for Social Innovation solutions. This phase will be conducted largely with qualitative research techniques such as interviews and ethnographic observations. The successful applicant will have at least an undergraduate degree (2:1 or higher) and a background in Social Sciences broadly defined (e.g. Sociology, Political Science, Psychology, Political Economy etc) and skills in qualitative research. You will be responsible for data collection and analysis and contribute to the qualitative mapping of needs and to the formulation of scenarios for future activities. In addition to the methodological skills noted above, candidates should have strong communication, interpersonal skills and interest to work at an interdisciplinary level.

Mapping for Social Innovation Project: Data mapping and results visualisation

The Organisation for Economic Co-operation and Development (OECD, 2011) defines Social Innovation as ‘improving the welfare of individuals and community through employment, consumption or participation, its expressed purpose being therefore to provide solutions for individual and community problems’ OECD (2011). Social innovation is a participatory and bottom-up process which offers creative answers to social needs. Its impact is in its power to improve the quality of people’s lives and satisfy needs which do not find solutions from the usual institutional channels.

We are launching an ambitious Social Innovation initiative in the city of Dundee in Scotland and, at this stage, we will concentrate on an extensive mapping of needs and potentials of the local community, using both and together qualitative research and data science and visualisation.

The Project
This project will bootstrap a Social Innovation initiative, centred on the city of Dundee, particularly where there are areas of disadvantage and gap in the delivery of provisions. The investigation will focus on exploring how to build user-driven and sustainable social innovation initiatives. The project will investigate areas not provided by, or funded, via traditional public and private sources and will start a process for proposing potential solutions. Core to the this project will in particular be a strong emphasis on mapping existing activities, people’s and charities’ needs, with the intent to provide a comprehensive overview of the situation and begin exploring some areas of intervention and foresee potential Social Innovation Solutions.
The approach we propose places particular emphasis on working closely with various local groups to identify the existing gaps and the forms of social innovation that would benefit them. The actual direct outcomes will be determined through an initial mapping and exploration phase, in collaboration with the local community. We believe that the mapping phase can have an impact well beyond the scope of the project itself and it has added value for the activities of a variety of potential actors (such as trusts, philanthropists), especially around their planning and supporting activities.

The Studentship
One of the aim of the project is that the mapping of activities will be extensive and where possible complete, for the entire local community. For this reason, we propose to leverage the use of new techniques from the emerging Data Science field. Mapping will be conducted with data mining activities (e.g. on charities public facing websites, on existing Open Data available from public authorities and so on). We will then use visualisation techniques that will be easy to use and facilitate the fruition and reuse of this knowledge. The successful applicant will have at least an undergraduate degree (2:1 or higher) and a background in data science, computer science, applied mathematics, statistics or a related discipline. You will be responsible for the development of the data collection tools. You will contribute to the development of the interactive visualisation. In addition to the technical skills noted above, candidates should have strong communication, interpersonal skills and interest to work at an interdisciplinary level.


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).

https://www.gla.ac.uk/schools/computing/worldchangerswelcome/

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)

https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/#/


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 dimitrios.pezaros@glasgow.ac.uk
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:
http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/.

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.