Job Description

Would You Like To Work With The

UK's Award Winning

Personal Care Brand? Enjoy Staff Discounts, Football Match Sponsorship, Company Events And Join Us To Win More Awards!

BarberBoss, own by Elite Capital Ltd, is a registered British personal care brand for men, women & pets based in Birmingham, UK. Our brand is fast rising among established brands in the UK and Europe with over 32,000 customer ratings and reviews on Amazon across the UK and 8 EU countries. We are also proud to have earned more than 300 five-star ratings on Google. Thanks to the positive and generous reviews by our customers, our brand has won many award recognition and titles such as

-"The 2025 Consumer Sector Cross-Border Leader" awarded by Forbes and Frost & Sullivan
-The Amazon's "Top 10 Best Hair clippers for Men"
-"Top 10 Cutting Kits" in the UK and EU Markets: Germany, France, Spain, etc in 2020, 2021 & 2022
-"The Top Valued Hair Clippers for Men" in 2021 by UK Best Reviews Guide,
-"The Best Budget Hair Clipper" by The Gadgets-Review
-"10 Best Hair Clippers: A Complete Buying Guide" in 2021 and 2022 by The Review 10 Best.

JOB ROLE:

Research Fellow in AI Software Engineering - School of Computer Science - 105453 - Grade 7

Position Details

School of Computer Science

Location: University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range 30,00 to 45,413 with potential progression once in post to 48,149

Grade: 7

Full Time, Fixed Term contract up to October 2027

Closing date: 29th April 2025

Please note that the successful applicant will be employed by the University of Birmingham but will be primarily based at Elite Capital Limited premises in Studio 4, Clarks Courtyard, 145 Grandville Street, Birmingham, B1 1SB.

Background

This is an exciting opportunity to lead a Knowledge Transfer Partnership (KTP) between the School of Computer Science at the University of Birmingham and Elite Capital Limited (trading as BarberBoss). The Knowledge Transfer Partnership project will develop and implement Al tools to automate and refine bidding strategies, ensuring efficient use of the advertising budget. We also aim to enhance data analytics capabilities to better understand market trends and consumer behaviour, allowing for more targeted and effective advertising campaigns.

About Knowledge Transfer Partnerships

The Knowledge Transfer Partnership (KTP) scheme is a government-funded technology transfer initiative that supports partnerships between business and universities, placing graduates on challenging, high profile projects. Further information is available at: www.birmingham.ac.uk/ktp

Role Summary

To facilitate the knowledge transfer of AI software engineering through conducting research. To understand the technology transfer challenges and share solutions to address them. Analyse and interpret research findings and results. To plan, design and deliver the research activities of the KTP programme, and to co-ordinate the research programme with the industrial sponsor of the project.

Main Duties

Design and Develop AI-Powered Software:Create, deploy, and maintain robust software solutions that automate and optimize Amazon ad campaigns using AI and machine learning, including LLMs Apply knowledge in a way which develops processes suitable for application in industry. Integrate AI for Campaign Management. Optimise Amazon Ad Campaigns. Collaborate Across Teams:Work with marketing, data science, and product teams to align AI solutions with business goals. Coding and problem-solving:Utilize your coding expertise (e.g., Python, R, JavaScript) to customize and integrate AI tools, build APIs, and create technical solutions for marketing challenges. Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, patent searches, and research interviews. Develop research objectives for own or joint research, with the assistance of a mentor if required. Analyse and interpret data. Apply knowledge in a way which develops a new intellectual understanding. Disseminate research findings for publication, research seminars etc. Contribute to developing new models, techniques and methods. Undertake management/administration arising from research. Contribute to enterprise and business development and/or public engagement activities of benefit to the Company or University, often under the supervision of a project leader. Collaborate with other key stakeholders to address the project deliverables. Collect research data; this may be through a variety of methods such as scientific experimentation, literature reviews, and research interviews. Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters. Connect with the other potential end-users of the technology. Provide guidance, as required, to support staff and any students who may be assisting with the research. Deal with problems that may affect the achievement of research objectives and deadlines.

Person Specification

First degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications/experience. A strong background in computer science (degree or equivalent experience). Exceptional numerical and analytical skills, with the ability to interpret complex datasets and translate insights into actionable strategies. Proficiency in coding (Python, JavaScript, R, or similar) to develop and customize AI-powered tools and apps. Proven experience in building and deploying applications that leverage LLMs or AI models. Hands-on experience with advertising platforms such as Google Ads, Meta Ads, or Amazon. Ability to design, develop, and deploy custom apps to support marketing functions. Familiarity with AI-powered marketing tools (e.g., ChatGPT API, Jasper AI, DataRobot) A strategic mindset with a focus on data-backed decision-making Demonstrated capability in delivering world-class or international-leading research. Ability to communicate complex information clearly. Good writing skills and an ability to work as part of a team. Ability to assess resource requirements and use resources effectively. High level analytical capability. Ability to communicate complex information clearly. Fluency in relevant models, techniques or methods and ability to contribute to developing new ones. Ability to assess resource requirements and use resources effectively. Understanding of and ability to contribute to broader management/administration processes. Contribute to the planning and organising of the research project. Co-ordinate own work with others to avoid conflict or duplication of effort.
Job Type: Full-time

Pay: 30,000.00-45,413.00 per year

Benefits:

Company events Company pension Employee discount
Schedule:

Monday to Friday
Ability to commute/relocate:

Birmingham: reliably commute or plan to relocate before starting work (required)
Application question(s):

What's your expected salary?
Education:

Bachelor's (required)
Experience:

data analytics and metrics: 2 years (required) Python, Java, JavaScript, C++, Haskell: 1 year (required) Cloud Platforms: Google Cloud: 1 year (required) AI Applications and Digital Advertising: 1 year (required)
Language:

Chinese (preferred)
Work Location: In person

Application deadline: 29/04/2025