At a Glance
- Tasks: Develop AI-enhanced teletherapy to improve mental health support and outcomes.
- Company: Blueskeye, a leader in human mental state sensing technology.
- Benefits: Access to a development budget, mentorship from top academics, and career growth.
- Other info: Unique opportunity to bridge academia and industry in a dynamic environment.
- Why this job: Make a real impact on mental health through innovative technology and research.
- Qualifications: Master's degree in relevant fields and experience in data analysis and affective computing.
The predicted salary is between 28392 - 31157 £ per year.
Through the Knowledge Transfer Partnership (KTP) Programme, Blueskeye, in partnership with Queen's University Belfast, has an exciting and unique employment opportunity for a suitably-qualified graduate to develop AI-enhanced teletherapy.
The project will analyse dyadic interactions between therapists and clients to support automatic monitoring of mental health severity, provide real-time and post-session insight, and improve the quality, accessibility and outcomes of remote (and face-to-face) talking therapies in an ethical and trustworthy manner.
Blueskeye is the world's leading company for the sensing of human mental state from face and voice behaviour patterns.
The core technology was developed over 20 years as part of the Behaviomedics research programme headed up by Professor Michel Valstar.
The technology is clinical grade and Blueskeye is the only company worldwide on a path to regulatory approval for clinical use.
This KTP underpins the company's "B-Healthy Teletherapy" strategy, which seeks to score every therapeutic interaction for empathy and therapeutic alignment, store and summarise sessions, support session preparation and quality assurance, and provide digital biomarkers of mental health conditions such as depression and anxiety.
This role is company-based (at Blueskeye in Nottingham) and will be delivered in collaboration with the School of Psychology at Queen's.
Information about the company partner can be found at: About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria: Hold a minimum of a Master's degree in Computer Science, Data Analytics, Psychology or a closely related discipline.
Completion of a relevant research project or student placement.
Relevant experience in research methods, data collection and statistical analysis.
Relevant experience of affective computing and/or social signal processing, and the analysis of human expressive behaviour (facial expression, voice, gesture).
High level of IT skills, including relevant experience of running data pre/post-processing scripts and managing complex data structures.
Conceptual familiarity with psychotherapy and/or the training of clinicians in preparation for service-user interaction.
Please note the above are not an exhaustive list.
Applicants must adequately evidence how they have gained relevant experience/knowledge/skills in detail, using examples and dates where appropriate to demonstrate that they meet these requirements.
It is not sufficient to simply list duties/skills/modules/assignment titles as evidence.
A KTP role is the perfect launchpad for your career providing the opportunity to apply your academic knowledge and skills to deliver a strategic innovation project within a company.
One of the unique benefits to KTP is access to a substantial development budget and the support and guidance of Queen's world-class academics and researchers.
This role offers an excellent opportunity to work closely between academia and industry whilst developing your skills to run and manage projects.
Information about the KTP Programme can be found on our website.
Please note: Applicants may be sent a technical test to complete and return as part of the shortlisting process.
Queen's reserves the right to close the advert early, therefore this advert will be closed once a maximum of 80 applications have been submitted.
This is a fixed term position available for 24 months.
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Affective Computing Data Scientist - KTP Associate employer: Queens University
As a Principal Engineer at Momentum One Zero, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of ML/AI engineering in exciting fields like digital health and agri-food. Our collaborative work culture fosters creativity and professional growth, offering ample opportunities for skill development and career advancement in a supportive environment. Located in a vibrant area, we provide a unique chance to engage with industry partners while contributing to impactful projects that make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land Affective Computing Data Scientist - KTP Associate
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We think you need these skills to ace Affective Computing Data Scientist - KTP Associate
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Queens University, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Queens University, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Queens University’s attention and show the tangible impact of your work.
How to prepare for a job interview at Queens University
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Queens University.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Queens University.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Queens University.
