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- Tasks: Join us as a Postdoctoral Research Officer focusing on freshwater data science and machine learning.
- Company: Be part of a dynamic team at the School of Ocean Sciences, located at Menai Bridge.
- Benefits: Enjoy flexible working options, including remote work and part-time opportunities for better work-life balance.
- Why this job: Make an impact in freshwater research while collaborating with experts in a supportive environment.
- Qualifications: PhD or near completion in Earth Sciences, Hydrology, Data Science, or related fields required.
- Other info: Start as soon as possible; role available for 2 years with potential for job share.
The predicted salary is between 36000 - 60000 £ per year.
Candidates should be educated to PhD level (or be near completion) in a relevant subject e.g. Earth Sciences, Hydrology, Data Science, Limnology, Glaciology or related field, or be very near completion. The successful candidate will be experienced in machine learning and data science, have experience of working with large geospatial datasets from multiple sources and be proficient in programming languages such as Matlab/R/Python.
The successful candidate will be expected to commence as soon as possible, and the post is available for a duration of 2 years.
This role will be located on campus at Menai Bridge. Through our Dynamic Working framework, there will also be the option to spend some time working remotely (although remaining in the UK) to support work life balance, which will be discussed further with candidates at interview.
Applications will also be considered to carry out this role on a part-time or job share basis.
Interested applicants are welcome to contact Dr Iestyn Woolway, Reader in the School of Ocean Sciences, email
Postdoctoral Research Officer in Freshwater Data Science employer: Bangor University
Contact Detail:
Bangor University Recruiting Team
+441248383865
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Officer in Freshwater Data Science
✨Tip Number 1
Make sure to highlight your experience with machine learning and data science in your conversations. Be prepared to discuss specific projects where you've utilized these skills, especially with large geospatial datasets.
✨Tip Number 2
Familiarize yourself with the research interests of Dr. Iestyn Woolway and the School of Ocean Sciences. This will help you tailor your discussions and show genuine interest in their work during the interview.
✨Tip Number 3
Since the role offers dynamic working options, think about how you can effectively balance remote work with on-campus responsibilities. Be ready to share your thoughts on this during the interview.
✨Tip Number 4
Network with current or former employees in similar roles. They can provide insights into the work culture and expectations, which can be invaluable for your interview preparation.
We think you need these skills to ace Postdoctoral Research Officer in Freshwater Data Science
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in machine learning and data science, especially with large geospatial datasets. Provide specific examples of projects or research where you utilized these skills.
Showcase Programming Proficiency: Clearly outline your proficiency in programming languages such as Matlab, R, and Python. Mention any relevant projects or applications where you applied these languages effectively.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the requirements of the Postdoctoral Research Officer position. Use keywords from the job description to demonstrate that you meet the qualifications.
Express Flexibility: Since the role offers options for remote work and part-time arrangements, express your flexibility and willingness to adapt to different working conditions in your application.
How to prepare for a job interview at Bangor University
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and data science in detail. Highlight specific projects where you've worked with large geospatial datasets and be ready to explain the programming languages you are proficient in, such as Matlab, R, or Python.
✨Demonstrate Your Research Background
Since the role requires a PhD or near completion, be ready to talk about your research work. Discuss how your academic background in Earth Sciences, Hydrology, or related fields has prepared you for this position and how it aligns with the goals of the team.
✨Understand the Dynamic Working Framework
Familiarize yourself with the concept of Dynamic Working and be prepared to discuss how you would balance remote work with on-campus responsibilities. This shows that you are adaptable and considerate of work-life balance.
✨Prepare Questions for the Interviewer
Think of insightful questions to ask Dr. Iestyn Woolway or other interviewers. Inquire about ongoing projects, team dynamics, or future research directions. This demonstrates your genuine interest in the role and the organization.
