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- Tasks: Research and develop next-gen estimation techniques for robotics and large-scale graph optimisation.
- Company: Leading UK educational institution with a focus on innovation in informatics.
- Benefits: Competitive salary, full-time position, and opportunities for impactful research.
- Why this job: Join a cutting-edge team and contribute to advancements in robotics and intelligent perception.
- Qualifications: PhD in Robotics, Computer Science, or Mathematics; strong C++ and/or Python skills.
- Other info: Fixed-term role for 24 months with excellent career development prospects.
The predicted salary is between 41064 - 48822 £ per year.
A leading educational institution in the United Kingdom is seeking two Postdoctoral Research Associates for their School of Informatics. These full-time positions focus on next-generation estimation and optimisation techniques for large-scale graph problems and intelligent robotic perception.
Candidates must have a PhD in Robotics, Computer Science or Mathematics, and strong skills in C++ and/or Python. The roles are fixed-term for 24 months, offering a competitive salary range of £41,064- £48,822.
Postdoc in SLAM & Large-Scale Graph Optimisation employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoc in SLAM & Large-Scale Graph Optimisation
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and let them know you're on the hunt for a postdoc. They might have insider info or even recommend you directly to hiring managers.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in C++ and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace that interview! Research common questions for postdoc positions and practice your responses. Be ready to discuss your research and how it aligns with their work in SLAM and graph optimisation.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your expertise. Don’t miss out on opportunities by sticking to traditional job boards.
We think you need these skills to ace Postdoc in SLAM & Large-Scale Graph Optimisation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Robotics, Computer Science, or Mathematics. We want to see how your skills in C++ and/or Python align with the role, so don’t hold back on showcasing those!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about SLAM and large-scale graph optimisation. We love seeing candidates who can connect their research interests with our goals.
Showcase Your Research: If you’ve published papers or worked on projects related to intelligent robotic perception, make sure to mention them. We’re keen to see how your past work can contribute to our future projects!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at University of Edinburgh
✨Know Your Stuff
Make sure you brush up on your knowledge of SLAM (Simultaneous Localisation and Mapping) and large-scale graph optimisation techniques. Be ready to discuss your PhD research and how it relates to the role, as well as any relevant projects you've worked on in C++ or Python.
✨Showcase Your Skills
Prepare to demonstrate your programming skills during the interview. You might be asked to solve a coding problem or explain your thought process on a technical challenge. Practising common algorithms and data structures in C++ or Python can really help you shine.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the research environment, ongoing projects, or the team dynamics. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
✨Be Yourself
While it's important to be professional, don't forget to let your personality shine through. The interviewers want to see how you would fit into their team, so be authentic and share your passion for robotics and optimisation. A positive attitude can go a long way!
