At a Glance
- Tasks: Support a collaborative EU project by developing epidemiological models and analysing data.
- Company: The University of Surrey, a leading institution in research and innovation.
- Benefits: Flexible working options, relocation assistance, and family-friendly benefits.
- Other info: Join a dynamic team and contribute to important research in respiratory diseases.
- Why this job: Make a real impact on public health through innovative research in epidemiology.
- Qualifications: PhD candidate with relevant research experience and strong communication skills.
The predicted salary is between 20000 - 30000 € per year.
The University of Surrey is seeking a part-time Research Assistant in Guildford, specializing in mathematical modelling and epidemiology to support a collaborative EU project. The successful candidate will develop epidemiological models for respiratory diseases in pigs and will engage in data analysis.
Candidates should be completing a PhD with relevant research experience and strong communication skills.
The role offers flexible working options, relocation assistance, and a range of family-friendly benefits.
Epidemiology Modelling Research Assistant in Surrey employer: University of Surrey
The University of Surrey is an excellent employer, offering a supportive and collaborative work environment for those passionate about research in epidemiology. With flexible working options, relocation assistance, and a commitment to family-friendly benefits, employees are encouraged to grow and thrive in their careers while contributing to impactful projects in Guildford.
StudySmarter Expert Advice🤫
We think this is how you could land Epidemiology Modelling Research Assistant in Surrey
✨Tip Number 1
Network like a pro! Reach out to your contacts in the field of epidemiology and mathematical modelling. Let them know you're on the lookout for opportunities, and who knows, they might just have a lead or two for you.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of respiratory diseases and be ready to discuss your research experience. We want you to shine and show how your skills align with the role at the University of Surrey.
✨Tip Number 3
Don’t forget to showcase your communication skills! Whether it’s during an interview or networking event, practice explaining complex concepts in simple terms. This will help you stand out as a candidate who can engage with diverse audiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals like you to join our team and make a difference in the field of epidemiology.
We think you need these skills to ace Epidemiology Modelling Research Assistant in Surrey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant research experience in epidemiology and mathematical modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work!
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 your background makes you a perfect fit. We love seeing enthusiasm and a personal touch!
Show Off Your Communication Skills:Since strong communication skills are key for this position, make sure to demonstrate them in your application. Whether it’s through clear writing or examples of teamwork, let us know how you can effectively share your ideas.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates about the process. Don’t miss out!
How to prepare for a job interview at University of Surrey
✨Know Your Models
Make sure you brush up on the latest mathematical modelling techniques relevant to epidemiology. Be prepared to discuss your previous research and how it relates to respiratory diseases in pigs, as this will show your expertise and passion for the field.
✨Data Analysis Skills Are Key
Since the role involves data analysis, be ready to talk about your experience with data handling and statistical software. Bring examples of past projects where you've successfully analysed data, and be prepared to explain your thought process during those analyses.
✨Communicate Clearly
Strong communication skills are a must for this position. Practice explaining complex concepts in simple terms, as you may need to present your findings to non-experts. This will demonstrate your ability to engage with a diverse audience and collaborate effectively.
✨Flexibility and Teamwork
Highlight your ability to work flexibly and collaboratively, especially since this is a part-time role within a collaborative EU project. Share examples of how you've successfully worked in teams and adapted to changing circumstances in your previous research experiences.
