KTP Associate

Heriot-Watt University
Edinburgh
3 weeks ago
Applications closed
Description

Role:KTP Associate (HeriotWatt University and IMRANDD)

Salary:35280

Contract:Fulltime 35 hours per week) Fixed Term 18 months)

Detailed Description

This collaborative Knowledge Transfer Project (KTP) led by the successful appointee shall develop a new inline process evaluation tool to optimise biomass characterisation for syngas production. This will involve material spectral characterisation and use of hyperspectral imaging techniques to qualify desirable biomass.

This 18month fulltime position is funded by our industry partner IMRANDD and Innovate UK. The successful appointee shall be based at IMRANDDs facility in Aberdeen and the project will involve working closely with colleagues at HeriotWatt Universitys Riccarton campus in Edinburgh.

IMRANDD provides engineering consultancy services and software solutions to continual process industries; these predict failures and improve safety operational performance and profitability. We have wide ranging experience of disciplines such as process design chemical management materials sciences nondestructive testing and inspection structural and mechanical engineering and advanced data science. We have capitalised on this to develop a range of unique patented software tools that can gather sort and condition very large data sets across an entire plants operations and provide near live process monitoring and detection of internal plant threats.

This project represents an exciting new direction for the business as we seek to further support our moves into the syngas field. It has a critical place within the business and will be responsible for the transfer of knowledge from HeriotWatt University to IMRANDD and contribute to market growth for the business.

Key Duties and Responsibilities

The successful appointee will be expected to undertake the following:

  • Develop and implement inline imaging cameras with a compensative biogenic materials database using industry standard analytical measurements to validate the spectral results.
  • Design and setup extensive laboratory experiments and clinical tests to evaluate the effect of biowaste variability on syngas quality
  • Lead the analysis and interpretation of research data and develop required outputs drawn from the research findings
  • Plan and manage the activity of the project in line with the identified workplan
  • Contribute to and lead results dissemination
  • Actively participate in the activities of the wider business

Please note that this job description is not exhaustive and the role holder may be required to undertake other relevant duties commensurate with the salary of the post. Activities may be subject to amendment over time as the role develops and/or priorities and requirements evolve. A flexible working schedule may be required to meet all key duties and responsibilities.

The role shall be primarily based at IMRANDDs Aberdeen office with provision of laboratory space made by HWU (Edinburgh campus) for the experimental portion of the project.

We will measure applicants based on the essential criteria not by the key duties.

The Institute of Mechanical Process and Energy Engineering (IMPEE) at HeriotWatt University

IMPEE is a new dynamic multidisciplinary research Institute focused on promoting excellence across our main research themes: Biomedical Engineering Digital Engineering Energy Harvesting and Conversion and Multiphase Flow. The mission of this vibrant new Institute is to foster research excellence across its main research themes.

Education Qualifications and Experience

Essential

  • A first degree in Material/Chemical Engineering or Chemistry/Materials Science (at least 2.1
  • Experience in conducting laboratory experimentation
  • Experience in data analysis
  • Experience of working as part of a multidisciplinary team
  • Excellent IT skills
  • Good report writing skills
  • Excellent communication skills
  • Good team player with good interpersonal skills

Desirable

  • MEng Chemical or Materials engineering 1st
  • Experience in product development
  • Experience of working with hyperspectral cameras
  • Experience solving problems using any current coding language
  • Knowledge in gasification process and/or biomass characterisation

About HeriotWatt

HeriotWatt University has established a reputation for worldclass teaching and leadingedge relevant research which has made it one of the top UK universities for innovation business and industry.

HeriotWatt University has five campuses: three in the UK (Edinburgh Scottish Borders and Orkney) one in Dubai and one in Malaysia. The University offers a highly distinctive range of degree programmes in the specialist areas of science engineering design business and languages. HeriotWatt is also Scotlands most international university boasting the largest international student cohort.

How to Apply

Please submit via the HeriotWatt online recruitment system 1 Cover letter describing their interest and suitability for the post; 2 Full CV.

Applications can be submitted until midnight onWednesday 30th April 2025.

Candidates can make informal enquiries about this position to Dr Aimaro Sannaor Mr Christopher Blake

At Heriot Watt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together. Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team.

Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future. Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with wellbeing and inclusiveness at the heart of our global community.

HeriotWattUniversity is committed to securing equality of opportunity in employment and to the creation of an environment in which individuals are selected trained promoted appraised and otherwise treated on the sole basis of their relevant merits and abilities. Equality and diversity are all about maximising potential and creating a culture of inclusion for all.

HeriotWattUniversity values diversity across our University community and welcomes applications from all sectors of society particularly from underrepresented groups. For more information please see our websitehttps://www.hw.ac/uk/services/equalitydiversity.htmand also our awardwinning work in Disability Inclusive Science Careershttps://disc.hw.ac/.

We welcome and will consider flexible working patterns e.g. parttime working and job share options.

Use our total rewards calculator:https://www.hw.ac/about/work/totalrewardscalculator.htmto see the value of benefits provided by HeriotWatt University.




Required Experience:

IC


Key Skills
CCTV,Airport Security,Analysis,Higher Education,Jewellery,Jboss
Employment Type :Full-Time
Experience:years
Vacancy:1

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.