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- Tasks: Assist in developing AI-assisted imaging systems for surgical guidance and support clinical studies.
- Company: King’s College London, a leading research institution with a focus on innovation.
- Benefits: Fixed-term contract, professional development days, and collaborative work environment.
- Why this job: Join a pioneering team and contribute to impactful neurosurgery research.
- Qualifications: Experience in software engineering and a passion for research.
- Other info: Full-time role with opportunities for career growth in a dynamic research setting.
The predicted salary is between 30000 - 42000 £ per year.
The post is based within the Research Department of Surgical & Interventional Engineering at King’s College London.
The research software engineer will help translate the next generation of AI-assisted imaging systems for surgical guidance. The postholder will play a key role in collaborative projects with King’s College Hospital. The role will involve supporting two ongoing clinical neurosurgery studies. The successful candidates will join the clinical study team to help curate high-quality data.
This is a full-time post (35 hours per week), and you will be offered a fixed term contract for 4 months.
Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development.
Research Assistant or Research Associate in Software Engineering and Surgical Imaging - INTERNAL ONLY - Strand, London, WC2R 2LS employer: KINGS COLLEGE LONDON
Contact Detail:
KINGS COLLEGE LONDON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant or Research Associate in Software Engineering and Surgical Imaging - INTERNAL ONLY - Strand, London, WC2R 2LS
✨Tip Number 1
Network like a pro! Reach out to colleagues and professors who might have connections in the field of surgical imaging. A friendly chat can lead to opportunities you wouldn't find on job boards.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or a presentation that highlights your previous work in software engineering and any relevant projects. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and boost your confidence. The more you practice, the more natural it will feel when it’s time for the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Research Assistant or Research Associate in Software Engineering and Surgical Imaging - INTERNAL ONLY - Strand, London, WC2R 2LS
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Research Assistant or Associate role. Highlight your relevant experience in software engineering and any previous work with surgical imaging or clinical studies. We want to see how you fit into our team!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past experiences that relate to AI-assisted imaging systems or data curation. This will help us understand how you can contribute to our ongoing projects.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the right fit for this role!
Apply Through Our Website: Remember to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at KINGS COLLEGE LONDON
✨Know Your Research
Familiarise yourself with the ongoing clinical neurosurgery studies and the AI-assisted imaging systems mentioned in the job description. Being able to discuss these projects in detail will show your genuine interest and understanding of the role.
✨Highlight Collaborative Skills
Since the role involves working closely with the clinical study team, be prepared to share examples of past collaborative projects. Emphasise your ability to work in a team and how you’ve contributed to successful outcomes in previous roles.
✨Prepare Questions
Think of insightful questions to ask during the interview. This could be about the specific technologies used in the research or how success is measured in the projects. It shows that you’re engaged and eager to learn more about the role.
✨Showcase Your Data Curation Experience
As the role involves curating high-quality data, be ready to discuss any relevant experience you have in data management or analysis. Provide specific examples of how you ensured data quality in past projects to demonstrate your capability.
