Research Fellow in Computational Chemistry (Excited States and Embedding Methods) in London
Research Fellow in Computational Chemistry (Excited States and Embedding Methods)

Research Fellow in Computational Chemistry (Excited States and Embedding Methods) in London

London Full-Time 39000 - 41000 £ / year (est.) No home office possible
Go Premium
U

At a Glance

  • Tasks: Develop adaptive embedding techniques for nonadiabatic dynamics in exciting research projects.
  • Company: Join the Crespo-Otero group at University College London, a leader in computational chemistry.
  • Benefits: Enjoy 41 days holiday, hybrid pension scheme, and on-site gym facilities.
  • Why this job: Make a real impact in understanding light-driven processes in biological and materials systems.
  • Qualifications: PhD in Chemistry, Physics, or Materials Science; experience in computational chemistry required.
  • Other info: Collaborative team environment with excellent career growth opportunities.

The predicted salary is between 39000 - 41000 £ per year.

We are seeking to appoint a Postdoctoral Researcher to join the Crespo‑Otero group at University College London to develop and implement adaptive embedding techniques for nonadiabatic dynamics in the condensed phase. This project addresses fundamental limitations in current nonadiabatic dynamics (NAD) simulations, which are central to understanding light‑driven processes in biological and materials systems.

Conventional electrostatic embedding approaches are computationally demanding and unable to describe charge or particle transport across regions. The appointed researcher will contribute to the development of next‑generation adaptive embedding strategies and machine‑learning‑enhanced NAD methods tailored to organic systems in condensed media, enabling accurate modelling of complex photoactivated phenomena such as DNA photodynamics and the behaviour of organic materials relevant to optoelectronic applications.

In this role, you will implement and advance adaptive embedding methods for excited states within the fromage code, integrating electronic‑structure techniques with nonadiabatic dynamics to capture key excited‑state mechanisms in realistic environments. The position offers the opportunity to contribute to method development at the interface of molecular and materials sciences and to generate new computational tools for studying excited‑state processes in complex condensed‑phase systems.

You will work within an established and collaborative team of postdoctoral researchers and PhD students in the UCL Chemistry Department. The research will be supervised by Dr Rachel Crespo‑Otero, whose group specialises in excited‑state simulations, method development for condensed‑phase excited‑state dynamics, and the modelling of photoactivated processes in organic systems. The position is available from May and funded for a maximum of 3 years.

Please note, appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary £39, - £41, per annum, including London Allowance of £5, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

The successful candidate will have a PhD degree (or be close to completing one) in Chemistry, Physics, Materials Science or a related discipline. Experience in computational chemistry, scientific programming, a strong publication record, a demonstrated commitment to excellence, and excellent computational skills are required. They must be able to work effectively in a multidisciplinary, collaborative team and have strong written and verbal communication skills in English.

A full job description and Person Specification can be accessed via the link at the bottom of the page. To apply for the vacancy please click on the ‘Apply Now’ button below. Please include a cover letter stating why you are interested in the position and how you fulfil the job criteria; a list of publications, CV.

As well as the exciting opportunities this role presents, we also offer some great benefits:

  • 41 Days holiday (including 27 days annual leave, 8 bank holidays and 6 closure days)
  • Additional 5 days' annual leave purchase scheme
  • Hybrid Final Salary Pension Scheme
  • Cycle to work scheme and season ticket loan
  • On-Site nursery
  • On-site gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

Research Fellow in Computational Chemistry (Excited States and Embedding Methods) in London employer: UCL Eastman Dental Institute

University College London is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation in the field of computational chemistry. With access to state-of-the-art facilities and a supportive team environment, employees benefit from extensive professional development opportunities, generous holiday allowances, and a range of employee benefits including a hybrid pension scheme and on-site amenities. This role not only allows for significant contributions to cutting-edge research but also promotes a healthy work-life balance in one of the world's leading academic institutions.
U

Contact Detail:

UCL Eastman Dental Institute Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Fellow in Computational Chemistry (Excited States and Embedding Methods) in London

✨Tip Number 1

Network like a pro! Reach out to current or former members of the Crespo-Otero group or other researchers in your field. A friendly chat can give you insights into the team culture and might even lead to a recommendation.

✨Tip Number 2

Prepare for the interview by brushing up on your computational chemistry knowledge, especially around nonadiabatic dynamics. We want to see your passion and expertise shine through, so be ready to discuss your previous work and how it relates to the role.

✨Tip Number 3

Showcase your collaborative spirit! This role is all about teamwork, so think of examples where you've successfully worked with others. Highlighting your ability to communicate and collaborate will set you apart from the crowd.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, make sure your cover letter reflects your enthusiasm for the project and how your skills align with the goals of the Crespo-Otero group.

We think you need these skills to ace Research Fellow in Computational Chemistry (Excited States and Embedding Methods) in London

Computational Chemistry
Adaptive Embedding Techniques
Nonadiabatic Dynamics
Scientific Programming
Machine Learning
Electronic-Structure Techniques
Modelling of Photoactivated Processes
Collaboration in Multidisciplinary Teams
Strong Written and Verbal Communication Skills
PhD in Chemistry, Physics, Materials Science or Related Discipline
Publication Record
Method Development
Data Analysis

Some tips for your application 🫡

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to express why you're excited about the role and how your background aligns with the project. We want to see your passion for computational chemistry and your understanding of the challenges in nonadiabatic dynamics.

Showcase Your Publications: Don’t forget to include a list of your publications! This is a great way to demonstrate your research experience and commitment to excellence. Highlight any work that relates to adaptive embedding techniques or excited-state simulations, as it’ll make you stand out to us.

Tailor Your CV: Your CV should reflect your skills and experiences relevant to the position. Focus on your computational skills, programming experience, and any collaborative projects you've been part of. We love seeing how you’ve contributed to multidisciplinary teams!

Apply Through Our Website: Make sure to apply through our website by clicking the ‘Apply Now’ button. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important details. We’re looking forward to seeing what you bring to the table!

How to prepare for a job interview at UCL Eastman Dental Institute

✨Know Your Stuff

Make sure you brush up on your knowledge of computational chemistry, especially around nonadiabatic dynamics and embedding methods. Familiarise yourself with the latest research in these areas, as well as any relevant techniques or tools mentioned in the job description.

✨Showcase Your Experience

Prepare to discuss your previous research and how it relates to the role. Highlight any experience you have with scientific programming and method development, particularly in the context of excited-state simulations. Be ready to share specific examples from your publications that demonstrate your expertise.

✨Team Player Vibes

Since this role involves working within a collaborative team, be prepared to talk about your experience in multidisciplinary environments. Share examples of how you've successfully worked with others, tackled challenges, and contributed to group projects in your past roles.

✨Ask Smart Questions

At the end of the interview, don’t forget to ask insightful questions about the Crespo-Otero group’s current projects or future directions in adaptive embedding techniques. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.

Research Fellow in Computational Chemistry (Excited States and Embedding Methods) in London
UCL Eastman Dental Institute
Location: London
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

U
  • Research Fellow in Computational Chemistry (Excited States and Embedding Methods) in London

    London
    Full-Time
    39000 - 41000 £ / year (est.)
  • U

    UCL Eastman Dental Institute

    200-500
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>