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- Tasks: Join Dr Albert Cardona's team to map insect brain connectomes using machine learning.
- Company: MRC Laboratory of Molecular Biology, a leader in scientific research.
- Benefits: Enjoy 40.5 days holiday, pension scheme, and training opportunities.
- Other info: Collaborative culture with world-class facilities and support for diverse candidates.
- Why this job: Make groundbreaking discoveries in neurobiology and contribute to innovative research.
- Qualifications: PhD in neuroscience or related fields; passion for computational biology.
The predicted salary is between 42694 - 42694 £ per year.
MRC Laboratory Of Molecular Biology, UKRI Salary £42,694 per annum. Fixed term, 3 years. Position located at MRC Laboratory of Molecular Biology, Cambridge, UK.
The role is to work within Dr Albert Cardona’s group on a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram (connectome) of whole insect brains, using machine learning approaches to computer vision on species such as Drosophila melanogaster and other drosophilids. To compare connectomes across experimental conditions, developmental stages, strains or species, we must first measure natural variability by mapping connectomes across multiple individuals and statistically quantifying individual differences.
The candidate will conduct a research project applying new automated approaches to connectome mapping at scale to many insect larval brain volumes. Ideal candidate will have a PhD (or be due to complete within 6 months) in neuroscience or in a related field such as physics, computer science, applied mathematics, or a quantitative biology programme within a computational group.
The research project broadly meets the scope of connectomics: bioimage informatics applied to large‑scale volumetric densely‑labelled data for circuit mapping and analysis, or to neuroscience data such as neuronal activity imaging, monitoring, behavioural tracking, or transcriptomics of neural tissue.
We are offering a three‑year training and development position suitable for recent doctoral graduates or those looking to move into a new research discipline. The position will be fully supported by world‑class scientific facilities and a collaborative working culture.
Benefits include:
- a holiday entitlement of 40.5 days per annum (including bank holidays and privilege days)
- a defined benefit pension scheme
- employee discount scheme
- opportunities for training and development support
Further details about benefits are available on the UKRI website. The role qualifies for endorsement by UKRI for a UK Global Talent Visa. Immigration costs can be reclaimed from UKRI after taking up the post (terms and conditions apply). Final appointments will be subject to pre‑employment screening.
Closing date: 17 May 2026.
We actively support equality, diversity and inclusion in all our activities, processes and culture. We encourage applications from all sections of society, and the LMB particularly welcomes women, minority ethnic and disabled candidates to apply for this vacancy as they are currently under‑represented. We are a disability inclusive employer and encourage disabled people to apply for this role.
Postdoctoral Scientist | Neurobiology | Dr Albert Cardona | LMB 2298 in Cambridge employer: Findauniversity Ltd.
Contact Detail:
Findauniversity Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Scientist | Neurobiology | Dr Albert Cardona | LMB 2298 in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to Dr Albert Cardona’s group. Attend conferences or seminars and don’t be shy to introduce yourself – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of connectomics and machine learning. We recommend practising common interview questions and even doing mock interviews with friends or colleagues to build your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your research projects, especially any work related to bioimage informatics or connectome mapping. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Postdoctoral Scientist | Neurobiology | Dr Albert Cardona | LMB 2298 in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Postdoctoral Scientist in Neurobiology. Highlight relevant experience, especially in connectomics and machine learning, to show us you’re the perfect fit for Dr Cardona’s team.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this research area. Share specific examples of your work that relate to the job description, and don’t forget to express your enthusiasm for joining our collaborative culture at the LMB!
Showcase Your Skills: We want to see your skills in action! If you have experience with bioimage informatics or large-scale data analysis, make sure to include that in your application. Use clear examples to demonstrate how you’ve applied these skills in past projects.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy to navigate!
How to prepare for a job interview at Findauniversity Ltd.
✨Know Your Research
Make sure you’re well-versed in Dr Albert Cardona’s work and the specifics of the neural circuit basis of behaviour. Familiarise yourself with the latest research in connectomics and machine learning applications in neurobiology. This will show your genuine interest and help you engage in meaningful discussions during the interview.
✨Prepare for Technical Questions
Expect questions related to your PhD research and how it relates to the role. Brush up on your knowledge of bioimage informatics, connectome mapping, and any relevant computational techniques. Be ready to discuss your experience with large-scale data analysis and how you can apply it to the projects at LMB.
✨Showcase Your Collaboration Skills
The role emphasises a collaborative working culture, so be prepared to discuss your experiences working in teams. Share examples of how you’ve successfully collaborated with others in your field, especially in interdisciplinary settings. Highlight your ability to communicate complex ideas clearly to diverse audiences.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team dynamics, ongoing projects, or future directions of the research. This not only shows your enthusiasm but also helps you gauge if the environment is the right fit for you. It’s a two-way street!