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.

Funded PhD, Edinburgh Napier University 

Closing Date: 7th August 2022

 

Funding is available for the following research project which will be supervised jointly between Queen Margaret University and Edinburgh Napier University:

Smart wearable devices for supporting multi-comorbid and frail individuals to live independently. We aim to design, develop and evaluate a smart multi-sensor instrument that allows a personalised assessment of gait, stability and activities of daily living. The data will be used to perform different analysis to show risks associated with physical frailty and/or falls and pre-falls using AI approaches

Approximately 28%-35% of people aged 65+ experience one fall every year. Near-falls, which include slips, trips and loss of balance which do not result in a fall are more common than an actual falls and have been shown to be associated with increased risk of an actual fall in the future. Detection however of falls and near falls rely upon accurate recognition and identification of high risk situations and activities linked with these types of adverse events. Identification of these high risk situations in the free living environment, may be more meaningful for effective preventive measures.

Frailty (PF) is one of the biological and behavioural risk factors linked with falls disability, social and mental dysfunction and increased morbidity. The desire to live independently with advancing age, combined with multiple coexisting conditions and associated risks, may conflict with safety and ability to maintain other instrumental and leisure daily activities (ADLs). There is an ever growing need for sustainable and cost effective solutions and systems to support the world’s aging population in maintaining independent living and prevent the occurrence of common injuries associated with disability and frailty such as falls, bone fractures and hospital admissions. In this respect we are proposing to combine research expertise and clinical experience and networks of people from QMU and ENU universities for a joint PhD programme of research. This project will aim to examine the dynamic interplay between physical movement during ADLs in the living environment and outcomes such as falls, pre-falls and related injuries as well as other health and well-being outcomes as agreed by the collaborating parties. Building on our previous work, we will implement new methodologies to record and monitor quantity and quality of human movement, incorporating data analysis, with state-of-art wearable devices, to offer novel insights into ADLs of elderly and frail individuals and the relationship to health and wellbeing outcomes.

Academic qualifications

A Master’s degree or a first degree (at least 2.1) ideally in Computing, or Computing Engineering, or Electronics and electrical engineering, or Robotics, or Mathematics or Health and Exercise/Physiotherapy related disciplines with a good understanding of wearable sensors and quantitative and qualitative data analysis and experience with working with human participants in research or practice settings.

Attributes:
  • Experiences in sensor technology and data analysis
  • Experience in mixed methods research approaches
  • Good interpersonal skills
  • Component in statistics and data modelling
  • Knowledge of applied statistics
Start date

23 January 2023.  (The successful applicant will need to be ready to commence on the programme by this date.  For International applicants this will include securing the required visa in time to travel to Edinburgh by this date.)

The successful applicant will be supported by a supervisory team and the Graduate School and will receive:

  • Full waiver of tuition fees;
  • an annual stipend of £15,609 lasting 3 years for full-time study; and
  • a research budget of £2,000 to cover project expenses and travel.

The deadline for applications is 7th August 2022.  Interviews are expected to take place during the last week of August or the first week of September 2022.

Find out more and how to apply

Level E Research, PhD Research Analyst (Junior or Senior) 

Hours: Full Time
Contract Type: Permanent
Salary: Competitive and Based on Experience
Location: Edinburgh 

 

What you will do

You will join the team responsible for the design, research and development of systems and algorithms that learn in dynamic environments from large datasets. Areas of interest include multiagent systems, evolutionary computation, probabilistic modelling etc. The research work is then integrated in a framework (the E-platform) of predictive models and systems. You will develop innovative research ideas, implement prototypes and efficient, effective and well-tested code. You will review other team members’ code and ensure quality is maintained at a high level.

Academic Background / Desired Experience (some of these required):

  • A PhD / PostDoc level degree in computer engineering/science, artificial intelligence (AI), machine learning (ML), distributed computing, computational physics or industry-related experience in these areas.
  • Experience in AI/ML, ideally in research-led or a production environment. evolutionary computation, autonomous robots, reinforcement learning, probabilistic modelling, dynamic clustering etc. – Strong coding and mathematical modelling skills: Linux, with programming in Java and algorithm Design; Java EE, PHP, Linux ShellScript.
  • Practical familiarity and experience writing efficient code in Java / Linux, in building and maintaining deployment pipelines, documenting and testing.
  • Experience over the full life cycle of a product development program is desirable.
  • Experience in mathematical/statistical models and/or economic or financial models is desirable.
Benefits

This is an excellent opportunity to learn and develop your skills in Level E’s pioneering work in autonomous investing; a stimulating and challenging international industry with unlimited potential. Also if you are looking for a rewarding career working in a vibrant environment and a diverse culture that thrives on shared success and innovative ways of thinking, this could be the role for you.

You will be joining an innovative company where you can have a real impact working with a diverse and smart team. Having the track record and being positioned in a high-impact and high-growth area helps us provide a working environment where you can develop your skills while working closely with everyone else in the firm. You’ll be rewarded with a competitive salary and financial package.

Level E Research is committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment for all.

Send your CV and cover letter to admin@leveleresearch.com

Senior Software Engineer, Danu Robotics 

Hours: Full Time
Contract Type: Permanent 
Salary: : £35k+ Competitive and Based on Experience
Location: Edinburgh 

 

Danu Robotics is a fast-growing Edinburgh based clean tech start-up. We are a team of passionate scientists and engineers working together to develop robotic solutions for the benefit of the environment. Currently, we are developing an intelligent robotic sorting system for the recycling industry to significantly increase recycling efficiency. If you are passionate about using technology for good, you would love to work with us.

We are currently looking for a senior software engineer to join us from September. You need to have solid background and extensive working experience in software architecture design or software system design, UML, object-oriented programming and parallel programming. You also need to be good at documentation and have knowledge in distributive computing is essential. Experience in robot control systems and programming for robots are welcome but not essential. You need to be proficient in: Bash, C, C++, Java, Python. We are a close-knit group so we are looking for someone who works well in a small team.

The starting date of this position can be negotiated. Additionally, we are an equal opportunity employer and can offer office or work from home solutions depending on your needs.

If you feel you have relevant expertise or experience, please send your CV to info@danurobotics.com. You can find us here: https://danurobotics.com/.

Please note: in your email please can you tell us more about yourself, and your motivation for applying this position.

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.

PhD students – Who can apply?

This programme is open to PhD students across Scotland studying in data and AI related fields.

Projects will be a maximum of 10 days (70 hours) in duration and may be undertaken on a continuous or intermittent basis by mutual agreement between the student and host organisation. Placements must be completed within an 8 week period.

Students will be paid at a rate of £13.25 by the University of Edinburgh and will be required to complete employment checks prior to being accepted onto the programme. You must have the right to work in the UK. Tier 4 students will be considered, but project allocation will be subject to project flexibility allowing for any visa restrictions on working hours.

As well as matching students to placements we will also be providing additional employability support including a 1-2-1 CV review, interview skills and imposter training workshops.

This is a rolling call and applications will be accepted at any time.

Find out more and how to apply