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- Tasks: Lead research in optimisation and machine learning while teaching and mentoring students.
- Company: Queen Mary University of London, a prestigious institution with a focus on innovation.
- Benefits: Competitive salary, 30 days annual leave, pension scheme, and childcare vouchers.
- Why this job: Make a real-world impact through research and inspire the next generation of mathematicians.
- Qualifications: Strong background in optimisation, machine learning, and teaching experience.
- Other info: Full-time, permanent position with excellent career development opportunities.
The predicted salary is between 40865 - 50881 £ per year.
Applications are invited for a Lectureship in Optimisation and Machine Learning. We are seeking to appoint an outstanding candidate with a track record of applying rigorous research methods to address real-world problems. They will be expected to develop a research platform and interact with one or more of the existing research groups in the School of Mathematical Sciences.
Candidates should also have a strong interest in pursuing excellence in teaching and supervising graduate students, as well as the ability and flexibility to teach across a range of topics in mathematics and its applications at undergraduate and postgraduate level. The successful candidate will be expected to contribute to the teaching of mathematical and computational modules in MSc in Business Analytics.
Applicants whose work has had a significant impact outside of the university environment are particularly encouraged to apply. The post is full-time and permanent.
For an appointment at Lecturer level, starting salary will be in the range of £40,865 – £50,881 per annum inclusive of London Allowance. Benefits include 30 days annual leave, childcare vouchers scheme, defined benefit pension scheme and interest free season ticket loan. The successful candidate will be expected to start the post on 1 September **** or as soon as possible thereafter.
Lecturer In Optimisation/Machine Learning, Queen Mary University Of London, Uk in England employer: The International Society for Bayesian Analysis
Contact Detail:
The International Society for Bayesian Analysis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer In Optimisation/Machine Learning, Queen Mary University Of London, Uk in England
✨Tip Number 1
Network like a pro! Reach out to current or former lecturers in optimisation and machine learning. They can give you insider tips on the application process and what the university is really looking for.
✨Tip Number 2
Show off your research! Prepare a presentation that highlights your past work and how it relates to real-world problems. This will demonstrate your ability to apply rigorous research methods, which is key for this role.
✨Tip Number 3
Get ready to teach! Brush up on your teaching skills and be prepared to discuss your teaching philosophy. The interviewers will want to see your passion for educating students at both undergraduate and postgraduate levels.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lecturer In Optimisation/Machine Learning, Queen Mary University Of London, Uk in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in optimisation and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about teaching and research in this field. We love seeing candidates who can connect their work to real-world applications.
Showcase Your Teaching Experience: Since teaching is a big part of this role, make sure to include any relevant teaching experience. We’re looking for candidates who can engage students and make complex topics accessible, so share your teaching philosophy!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it’s super easy to do!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research Inside Out
Make sure you can discuss your research methods and findings in detail. Be prepared to explain how your work addresses real-world problems, as this is a key focus for the role. Practise summarising your research in a way that’s engaging and easy to understand.
✨Showcase Your Teaching Skills
Since teaching is a big part of this role, think about examples from your past experiences where you’ve successfully taught or supervised students. Prepare to discuss your teaching philosophy and how you adapt your style to different learning needs.
✨Engage with Current Trends
Stay updated on the latest developments in optimisation and machine learning. Be ready to discuss how these trends could influence your teaching and research. This shows your passion for the field and your commitment to staying relevant.
✨Connect with Existing Research Groups
Research the existing research groups at Queen Mary University and think about how your work aligns with theirs. Be prepared to discuss potential collaborations and how you can contribute to their ongoing projects, which will demonstrate your team spirit and adaptability.
