At a Glance
- Tasks: Conduct original research in statistical machine learning for computational imaging.
- Company: Join Heriot-Watt University, a leader in mathematical and computer sciences.
- Benefits: Enjoy 33 days of annual leave, flexible working options, and a supportive environment.
- Why this job: Be part of groundbreaking AI research while inspiring the next generation in STEM.
- Qualifications: PhD in relevant fields with strong skills in machine learning and Python programming.
- Other info: Open to all applicants, including those without UK work rights; diversity is celebrated.
The predicted salary is between 31982 - 38988 £ per year.
The School of Mathematical and Computer Sciences at Heriot-Watt University is recruiting a postdoctoral researcher in statistical machine learning for computational imaging. The position is open in the context of the 5-year research project Learned Quantitative Stochastic Imaging led by Prof. Marcelo Pereyra with funding from a prestigious UKRI EPSRC Open Fellowship. This project aims to establish the mathematical and computational foundation for the next generation of breakthroughs in AI-based statistical imaging sciences.
The goal is to improve dramatically the inferential power of future computational imaging systems with a particular focus on advancing uncertainty quantification and model validation capabilities which are essential for using restored image data as evidence for decision-making or as scientific evidence. This research will evolve and intimately combine modern computational imaging paradigms with ideas and techniques from statistical machine learning especially around self-supervised learning and generative artificial intelligence.
In addition to impactful research, the project features an ambitious stakeholder engagement program designed to inspire young people to pursue STEM careers, increase public understanding of uncertainty and risk, and engage the public with the ethical & sustainable AI agenda. The School of Mathematical and Computer Sciences at Heriot-Watt University provides an ideal environment for this project and this postdoctoral research position.
The University is at the heart of one of the largest and most vibrant imaging communities worldwide covering the full spectrum of imaging research from new theory and methodology to sensor instrument and imaging techniques. Heriot-Watt University’s School of Mathematical and Computer Sciences is also part of the Maxwell Institute for Mathematical Sciences, a major mathematical centre with world-class research in statistics and computational mathematics and part of the International Centre for Mathematical Sciences (ICMS) which supports and hosts international mathematical sciences workshops all year round.
Furthermore, the School was recently awarded a Silver Award within the Athena Swan Charter in recognition for its work to progress equality, diversity and inclusion in higher education. The University hosts the UK National Robotarium, a world-leading robotics and applied AI facility with a significant focus on imaging systems as well as multiple doctoral training centres relevant to this project. We particularly welcome applicants from under-represented groups as well as applicants with caring responsibilities and others who often face non-visible barriers. We welcome and will consider flexible working patterns including part-time working and job share options. There are no nationality restrictions for candidates applying for this position and we will also consider applications from candidates who do not currently have the right to work in the UK.
Key Duties & Responsibilities
- The postholder will conduct and disseminate original research aligned with the project working closely with Prof. Marcelo Pereyra.
- They will benefit from a supportive and stimulating research group environment and culture as well as from a comprehensive individually tailored professional development plan.
- They will also have the opportunity to interact with leading scientists who collaborate on this project.
- The postholder will also be involved in the organisation and delivery of research workshops, industry sandpits and public engagement events related to the project.
- In addition, they will have the opportunity to assist with research supervision and gain teaching experience in higher education.
Essential & Desirable Criteria
- Essential: PhD in electronic engineering, machine learning, applied mathematical sciences or a closely related field. Candidates must have submitted their doctoral thesis before starting in post.
- A track record of achieving significant research results in the field of computational imaging, computer vision, signal processing or a related field as demonstrated by primary contributions to publications in leading journals and conferences proportionate to stage in career.
- Evidence of strong statistical machine learning skills including robust mathematical and statistical foundations and proficiency in Python programming and deep learning frameworks.
- Experience in training deep learning models for image generation or image restoration.
- Proven ability to write clean, efficient and well-documented scientific computing code.
- Evidence of creativity, self-motivation and independent critical thinking.
- Ability to work independently and collaboratively as well as excellent time management skills including the ability to prioritise workload.
- Excellent oral and written communication skills with the ability to articulate complex research findings through technical reports and by oral presentation.
- A strong commitment to adopting EDI principles in the workplace.
- Desirable: Experience working in a multi-cultural environment.
- Experience developing software in a Linux environment.
- Experience running numerical experiments on shared HPC facilities (e.g. GPU clusters).
- Experience in team collaboration in software development and awareness of tools and best practice for effective collaboration.
- Experience supervising research (e.g. in the context of MSc dissertations).
- A good understanding of the state of the art in artificial intelligence models for image generation architectures and training paradigms.
- Interest in research outreach.
- Awareness of the Open Science approach.
How to Apply
Applications can be submitted up to midnight (UK time) on Friday 6th June 2025. Please submit your CV & covering letter via the Heriot-Watt online recruitment. We welcome and will consider flexible working patterns e.g. part-time working and job share options.
Heriot-Watt University 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. Heriot-Watt University values diversity across our university community and welcomes applications from all sectors of society particularly from underrepresented groups.
For more information please see our website also our award-winning work in Disability Inclusive Science Careers and our total rewards calculator: see the value of benefits provided by Heriot-Watt University.
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 well-being and inclusiveness at the heart of our global community.
Research Associate in Computational Imaging. Job in Edinburgh Education & Training Jobs employer: Heriot-Watt University
Contact Detail:
Heriot-Watt University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Computational Imaging. Job in Edinburgh Education & Training Jobs
✨Tip Number 1
Network with professionals in the field of computational imaging and machine learning. Attend relevant conferences, workshops, or seminars where you can meet researchers and industry experts. This can help you gain insights into the latest trends and potentially lead to recommendations for your application.
✨Tip Number 2
Engage with the research community at Heriot-Watt University by following their work online. Familiarise yourself with the projects led by Prof. Marcelo Pereyra and others involved in the research group. This knowledge will allow you to tailor your discussions during interviews and demonstrate your genuine interest in their work.
✨Tip Number 3
Showcase your technical skills by contributing to open-source projects related to statistical machine learning or computational imaging. This not only enhances your portfolio but also demonstrates your commitment to the field and your ability to collaborate effectively with others.
✨Tip Number 4
Prepare for potential interviews by practising how to explain complex concepts in simple terms. Since the role involves communicating research findings, being able to articulate your ideas clearly will be crucial. Consider conducting mock interviews with peers to refine your communication skills.
We think you need these skills to ace Research Associate in Computational Imaging. Job in Edinburgh Education & Training Jobs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistical machine learning, computational imaging, and any related fields. Emphasise your PhD and any significant research results, particularly those that align with the project’s goals.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the research project. Discuss how your skills and experiences make you a perfect fit, and mention specific aspects of the project that excite you.
Showcase Your Technical Skills: Clearly outline your proficiency in Python programming and deep learning frameworks. Provide examples of your experience in training deep learning models for image generation or restoration, as this is crucial for the role.
Highlight Communication Skills: Since excellent communication skills are essential, include examples of how you've effectively articulated complex research findings in previous roles. Mention any experience with public engagement or teaching, as these will strengthen your application.
How to prepare for a job interview at Heriot-Watt University
✨Know Your Research
Familiarise yourself with the specifics of the project led by Prof. Marcelo Pereyra. Understand the key concepts of statistical machine learning and computational imaging, as well as recent advancements in the field. This will help you engage in meaningful discussions during the interview.
✨Showcase Your Skills
Be prepared to discuss your experience with Python programming, deep learning frameworks, and any relevant projects you've worked on. Highlight your ability to write clean and efficient code, as well as your experience in training deep learning models for image generation or restoration.
✨Demonstrate Collaboration
Since the role involves working closely with a diverse team, be ready to share examples of how you've successfully collaborated in previous projects. Discuss your experience in multi-cultural environments and your approach to teamwork in software development.
✨Communicate Clearly
Practice articulating complex research findings in a clear and concise manner. Prepare to explain your past research and its implications, as well as your commitment to equality, diversity, and inclusion principles in the workplace.