MSCA Doctoral Network MENTOR project PhD Student position

NPL
Teddington
2 weeks ago
Applications closed

Related Jobs

View all jobs

The National Physical Laboratory, UK, seeks a PhD candidate for a prestigiousMSCA Doctoral Network position. The candidate will play a pivotal role in theMENTORproject on environmentally friendly indoor photovoltaics. Working on the topic "New methods for accurate and reproducible assessment of performance, losses and reliability in indoor PV cells and modules", they will be responsible for developing advanced characterisation techniques and test methods that will be applied to devices developed by project partners.

This work will include:

  • Development of new imaging techniques to understand losses in photovoltaic devices.
  • Accelerated ageing studies on indoor photovoltaic devices.
  • Developing methods for comparing and rating performance of indoor photovoltaic devices.

The PhD candidate will not only develop new measurement techniques, but also the accompanying analysis methods and device modelling. They will need an eye for detail and a passion for accuracy and thoroughness. They require an understanding of device physics and an aptitude for device characterisation, device modelling, probability and statistics and coding. They must have a first degree in Physics, Electronic Engineering or a related subject. 

The MENTOR project is a network of 8 universities, 7 industrial partners, and 5 research centres across Europe covering key aspects of indoor photovoltaics including sustainable design, organic and inorganic materials synthesis, photovoltaics manufacturing and characterisation, device physics and modelling, theoretical and machine learning-driven approaches, photovoltaics recycling, and industrial processing. It is coordinated byTampere University,Finland. The PhD candidate will collaborate closely with the 16 other doctoral candidates in the consortium to develop device characterisation methods that will be used by project partners. MENTOR provides training and networking opportunities, including training events and secondments to develop the next generation of leading scientists. 

NPL is a national research laboratory of the United Kingdom. Its mission is to develop and apply measurement science to tackle grand challenges, support economic growth and improve quality of life. NPL’sPhotovoltaicscapabilities support innovation and uptake of new photovoltaic technologies, and play a critical role in the development of international standards.

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.