At a Glance
- Tasks: Map neural circuits using machine learning to understand behaviour and disease.
- Company: Join the MRC Laboratory of Molecular Biology, a leading research institute in Cambridge.
- Benefits: Enjoy 40.5 days holiday, competitive salary, and excellent training opportunities.
- Why this job: Make a real impact in neuroscience with cutting-edge technology and collaborative research.
- Qualifications: PhD in neuroscience or related field, with skills in bioimage informatics.
- Other info: Dynamic work environment with a focus on equality, diversity, and inclusion.
The predicted salary is between 42694 - 42694 Β£ per year.
To work within the group of Dr Albert Cardona at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning approaches to computer vision, in a disease animal model. In order to compare the connectome across different experimental conditions, developmental stages, and strains or species, we must first measure the natural variability, by mapping the connectome across multiple individuals and statistically quantifying the individual differences from the common subset.
Mapping the first connectome manually with computer-assisted means took 10 years and the effort of dozens of laboratories. Today, the knowledge acquired, the existence of one mapped connectome to act as reference, the fact that the larval fly brain is composed of stereotyped and uniquely identifiable neurons, plus machine learning approaches to computer vision, offers the opportunity to automatically map many connectomes across many animals, and therefore study how connectomes vary in development, in disease, and across closely related species. Identifying the differences across conditions will help understand the relation between neuronal circuit structure and function.
The candidate will conduct a research project in applying new automated approaches to connectome mapping at scale to many brain volumes of both wild-type and disease models in fruit fly larvae. The ideal candidate will have a PhD (or due to complete within 6 months) in neuroscience, or in a related field (physics, computer science, applied math, or biology in a quantitative programme within a computational group) where 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 at least, bioimage informatics applied to neuroscience data such as neuronal activity imaging, neuronal activity monitoring, behavioural tracking, or transcriptomics of neural tissue.
Further details on the technical skills and expertise for the role is outlined in the job description. LMB has a collaborative working culture and state-of-the-art building on the Cambridge Biomedical Campus. We have on-site parking, cycle enclosures and excellent public transport links to the site. We have a staff restaurant with roof terrace and access to a Campus nursery and sports and social facilities. You will be eligible to join our defined benefit pension scheme, a holiday entitlement of 40.5 days per annum (including bank holidays and privilege days) and a generous employee discount scheme. We are also committed to providing training and development opportunities including support towards role-related qualifications.
The LMB is a world-class research institute within UK Research and Innovation (UKRI). UKRI is nine research councils, working together across all disciplines and sectors. More information can be found at www.ukri.org and www.mrc-lmb.cam.ac.uk.
Closing date: 15 February 2026. Final appointments will be subject to a pre-employment screening. We actively support equality, diversity and inclusion in all our activities, processes and culture. We encourage applications from all sections of society. 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. You are very welcome to contact us for information about the application process and any adjustments you may require; recruit@mrc-lmb.cam.ac.uk.
Postdoctoral Scientist - Neurobiology - Dr Albert Cardona - LMB 2765 employer: MRC Laboratory of Molecular Biology.
Contact Detail:
MRC Laboratory of Molecular Biology. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Postdoctoral Scientist - Neurobiology - Dr Albert Cardona - LMB 2765
β¨Tip Number 1
Network like a pro! Reach out to your connections in the neuroscience field, especially those who might know Dr Albert Cardona or have insights into the MRC Laboratory of Molecular Biology. A friendly chat can sometimes lead to opportunities that arenβt even advertised!
β¨Tip Number 2
Prepare for the interview by diving deep into connectomics and the latest machine learning techniques. Show us youβre not just familiar with the basics but are genuinely excited about how these methods can revolutionise our understanding of neural circuits.
β¨Tip Number 3
Donβt underestimate the power of a follow-up! After your interview, drop a quick thank-you email to express your appreciation for the opportunity. It keeps you fresh in their minds and shows your enthusiasm for the role.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen. Plus, it shows youβre serious about joining our team at the LMB. We canβt wait to see what you bring to the table!
We think you need these skills to ace Postdoctoral Scientist - Neurobiology - Dr Albert Cardona - LMB 2765
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the role of Postdoctoral Scientist. Highlight relevant experience in neuroscience, connectomics, and any machine learning projects you've worked on. We want to see how your background aligns with our research goals!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about neurobiology and how your skills can contribute to Dr Cardona's team. Be genuine and let your enthusiasm for the role come through.
Showcase Your Technical Skills: Since this role involves bioimage informatics and large-scale data analysis, make sure to highlight any technical skills you have in these areas. Mention specific tools or programming languages youβre proficient in that are relevant to connectome mapping.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. Itβs the best way to ensure your application gets into the right hands. Plus, youβll find all the details you need about the role there!
How to prepare for a job interview at MRC Laboratory of Molecular Biology.
β¨Know Your Connectomics
Make sure you brush up on the latest research in connectomics and neural circuit mapping. Familiarise yourself with the techniques mentioned in the job description, especially those related to machine learning and bioimage informatics. This will show your genuine interest and understanding of the field.
β¨Prepare for Technical Questions
Expect to be asked about your technical skills and experience. Be ready to discuss specific projects you've worked on that relate to neuroscience, computer vision, or data analysis. Prepare examples that highlight your problem-solving abilities and how you've applied your knowledge in practical scenarios.
β¨Show Your Collaborative Spirit
The LMB values collaboration, so be prepared to discuss how you've worked in teams before. Share experiences where you contributed to group projects or collaborated with others to achieve a common goal. Highlight your communication skills and adaptability in a team setting.
β¨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask. Inquire about the current projects in Dr Cardona's lab or the future direction of the research. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.