At a Glance
- Tasks: Conduct groundbreaking research in cardiac image analysis and machine learning.
- Company: Join the prestigious Imperial College London, ranked 2nd globally.
- Benefits: Competitive salary, career support, and a collaborative work culture.
- Other info: Full-time role with excellent opportunities for growth and publication.
- Why this job: Make a real difference in healthcare with innovative digital twin models.
- Qualifications: PhD or near completion in medical image analysis or related fields.
The predicted salary is between 49017 - 52922 £ per year.
Research Associate
Job Type: Full-Time.
Starting Salary
49017 - 52922 per annum + 49017 plus benefits
To find out more about the job please click the apply for job button to be taken to Imperial job site
About the role
We are seeking a Research Assistant/Associate to join the Biomedical Image Analysis (Bio Med IA) Group at Imperial College London to work on the EPSRC CVD-Net Programme Grant.
The programme aims to develop digital twin models of the heart for patients with pulmonary arterial hypertension.
This post links medical imaging research with digital twin models.
What you would be doing
You will undertake research in cardiac image analysis, machine learning and predictive modelling to derive imaging phenotypes and anatomical models from cardiac images, which form important aspects of the digital twin model that can predict future outcomes of the patients.
Research outcomes will be expected to be published in high-quality refereed international conferences and/or journals.
The successful candidate will be expected to have an outstanding background in medical image analysis, machine learning and programming.
The researcher will be a member of the Bio Med IA Group based at the South Kensington Campus, Imperial College London, and will be supervised by Dr Wenjia Bai.
The researcher will work closely with group members at Imperial and other researchers within the programme grant.
- What we are looking for
- Hold a Ph D (or near completion) in medical image analysis, image processing, computer vision or a closely related discipline, or equivalent research experience.
- Proven experience and publication track record in medical image analysis, image processing, computer vision and machine learning.
- Excellent programming skills.
- Excellent verbal and written communication skills and the ability to write clearly and succinctly for publication.
- Motivation of improving healthcare via computational and machine learning techniques.
- What we can offer you
- An excellent opportunity to continue your career at a world-leading institution (2nd place in the QS World University Ranking) and be part of our mission to continue science for humanity.
- Learning and collaboration opportunities within an inclusive, collegial, world-leading research environment.
Our group deliver excellent research outcomes in AI conferences and medical imaging journals.
- Gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
- Sector-leading salary and remuneration package.
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
- Further information
This is a full-time post with a fixed-term contract for 36 months.
Please note that this is a Ph D level role but candidates who have not yet been officially awarded will be appointed as a Research Assistant.
- In addition to completing the online application candidates should attach:
- A full CV with list of publications
- A 1-page research statement on how your experience meets the above requirements.
- If you require any further details about the role, please contact: Dr Wenjia Bai -
, with (RA Post) in the subject of the email and your CV.
Research Associate - London in Hitchin employer: Imperial College London
As a Section Manager at Imperial College, you will thrive in a world-renowned institution dedicated to advancing research for the benefit of humanity. Enjoy a competitive salary and an impressive benefits package, including 41 days of annual leave, flexible working options, and access to on-site leisure facilities. Join a diverse and inclusive work culture that prioritises your personal and professional growth, making it an exceptional place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate - London in Hitchin
✨Get Involved in Local Research Communities
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We think you need these skills to ace Research Associate - London in Hitchin
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Imperial College London that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Imperial College London.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Imperial College London does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Imperial College London
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Imperial College London. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Imperial College London's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Imperial College London. This shows your passion for the industry!
