Research Associate for Territorial Metabolism and Industrial-Urban Symbiosis

Imperial College London
London
3 weeks ago
Create job alert

We are seeking a highly motivated researcher to join our team in advancing Territorial Metabolism and Water-Energy-Materials-Waste (WEMW) nexus approaches. As part of the CSSBoost and Theseus Projects (“A First-of-a-Kind Hub for Circularity Demonstrator for Attica and Peripheral Regions”), you will use computational methods to simulate territorial WEMW dynamics, predict supply chain risks, and optimize resource flows. You will be involved in designing and developing a decision support tool that provides actionable insights into resource utilization, emissions generation, and interlinkages, empowering decision-makers to assess the impacts and benefits of implementing CSSBoost and Theseus solutions across the target region.


Develop a Territorial Metabolism framework integrated with a WEMW nexus model to optimize resource interconnections across water, energy, materials, and waste domains; mitigating supply risk to enhance resilienceDesign and deliver a decision-support module based on this modeling approach to inform sustainable decision-makingContribute to project deliverables, reports, and academic publicationsCollaborate with a multidisciplinary team of researchers, industry stakeholders, and policymakers to ensure practical relevance and impact.
A PhD (or be near its completion) or equivalent experience in Engineering, Environmental Sciences, Applied Mathematics, Computer Science, Systems Modeling or a closely related disciplineKnowledge one or more programming languages (., Python, R, C++).Experience in developing complex, multi-domain models (., system dynamics, agent-based, or techno-economic models).Proven experience in leading the integration and deployment of machine learning solutions in industrial or environmental settingsAbility to conduct a detailed review of recent literature
Participation in a high-impact European research project that aims to revolutionize sustainable resource use at the territorial scale.Collaboration with multidisciplinary teams at Imperial College London, renowned for leading innovation in sustainability and resource efficiency.Development of project management and leadership skills through active involvement in high-profile projects, working with cross-sectoral partners, and managing deliverables.Hands-on experience with advanced digital technologies, contributing to innovative solutions for a resilient future.Professional development opportunities, including publishing in leading journals, presenting at international conferences, and shaping industry standards in sustainability and resilience.Access to a sector-leading salary and benefits package, extensive training programs, and career development resources to support your professional goals.

Related Jobs

View all jobs

Research Associate in Computational Neuroscience (AP12553) - Bath, BA2 7AY

Postdoctoral Transition Fellow (Senior Research Associate)

Associate Epidemiology Director

Data Analyst

Clinical Trial Manager

Research Fellow - Institute of Cancer and Genomic Sciences - 104098 - Grade 7

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.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.

UK Visa & Work Permits Explained: Your Essential Guide for International AI Talent

The United Kingdom has long been a hub of innovation, drawing some of the world’s brightest minds to its shores. In recent years, the country’s thriving technology ecosystem has been propelled by advances in Artificial Intelligence (AI), Machine Learning (ML), Robotics, Data Science, and related fields. From deep-tech start-ups in Silicon Roundabout to established global powerhouses, the UK remains at the forefront of AI research and development. Yet, for international AI professionals hoping to contribute to the UK’s tech growth, one of the most challenging hurdles can be understanding the visa and work permit landscape. The UK immigration system has its unique nuances, and it can be overwhelming to decide which route is best suited for your career aspirations. This comprehensive guide will help you navigate the main visa and work permit options for AI professionals, provide insight into the eligibility criteria, and offer practical tips on securing your dream role in the British AI sector.