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- Tasks: Join a cutting-edge research team in computational neuroscience and develop innovative algorithms.
- Company: World-class University of Edinburgh with a focus on academic excellence and student wellbeing.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Dynamic role with collaboration across various specialties and excellent career development opportunities.
- Why this job: Make a real impact in neuroscience while working with leading experts in the field.
- Qualifications: Experience in research and a passion for computational neuroscience.
The predicted salary is between 41064 - 48822 £ per year.
UE07: £41,064.00 - £48,822.00 Per Annum
CSE / School of Informatics. Full Time – 35 Hours Per Week. Fixed term contract - 36 months
The Opportunity: Your next step starts here. Be part of something bigger. We offer careers and roles in just about every area you can think of. Whether you are looking for entry-level, mid-career or roles at the top of your chosen specialism, we can offer you a career where you can flourish and make a real difference in the communities around us while contributing to the world at large. Our people come from a wide range of backgrounds, each bringing their abilities and experiences to our organisation.
The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our students' performance and wellbeing.
The research group of Dr. Nina Kudryashova, a Royal Society University Research Fellow, at the Institute for Machine Learning (IML) at the University of Edinburgh, invites applications for a Postdoc / Research Associate (36 months), to contribute to cutting-edge research in computational neuroscience, developing algorithmic foundations for closed-loop experimentation. The post holder will be supervised by the principal investigator Dr. Nina Kudryashova.
The group has established links to experimental neuroscience groups in Edinburgh (Duguid, Rochefort, Karnani) and Newcastle Hospitals NHS Foundation Trust (Bashford). The post holder will also have the opportunity to collaborate with colleagues in a wide range of specialties across the School, including in computational neuroscience (e.g. Hennig, Onken, Chadwick), computational cognitive neuroscience (e.g. Series, Peters), machine learning (e.g. Mac Aodha, Bile).
14079 - Research Associate employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 14079 - Research Associate
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Edinburgh, especially in the School of Informatics. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into the research group’s work. Familiarise yourself with Dr. Kudryashova's projects and think about how your skills in computational neuroscience can contribute. We want to see your passion shine through!
✨Tip Number 3
Showcase your collaborative spirit! Highlight any past teamwork experiences in your discussions. The role involves working with various specialists, so let’s demonstrate that we can play well with others.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our community at the University of Edinburgh.
We think you need these skills to ace 14079 - Research Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Associate role. Highlight relevant experience in computational neuroscience and any collaborations you've had in similar fields. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to Dr. Kudryashova's research group. Be genuine and let your enthusiasm show – we love that!
Showcase Your Skills: Don’t forget to showcase your technical skills, especially those related to algorithm development and machine learning. We’re keen on seeing how you can apply these skills in a practical research setting, so be specific!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly and is considered promptly. Plus, it’s super easy!
How to prepare for a job interview at University of Edinburgh
✨Know Your Research
Before the interview, dive deep into the research work of Dr. Nina Kudryashova and her team. Familiarise yourself with their recent publications and projects in computational neuroscience. This will not only show your genuine interest but also help you engage in meaningful discussions during the interview.
✨Prepare for Technical Questions
Given the role's focus on algorithmic foundations and closed-loop experimentation, brush up on relevant technical concepts and methodologies. Be ready to discuss your previous research experiences and how they relate to the position. Practising common technical questions can give you a confidence boost.
✨Showcase Collaboration Skills
This role involves collaboration with various specialists. Think of examples from your past where you've successfully worked in a team or across disciplines. Highlighting your ability to communicate and collaborate effectively will resonate well with the interviewers.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the future direction of the research group or how they envision the role contributing to ongoing projects. This demonstrates your enthusiasm and forward-thinking mindset, which is crucial in a research environment.