At a Glance
- Tasks: Conduct innovative research and collaborate on interdisciplinary projects in mathematics and computer science.
- Company: Heriot-Watt University, a top UK institution known for innovation and research excellence.
- Benefits: 33 days annual leave, competitive salary, and flexible working options.
- Other info: Opportunities for career growth and a commitment to diversity and inclusion.
- Why this job: Join a dynamic team driving real-world applications of mathematical research.
- Qualifications: PhD in applied mathematics or data science, with strong project management skills.
The predicted salary is between 37694 - 47389 £ per year.
Role: Research Associate in Mathematical and Computer Science
Grade and Salary: Grade 7 (37,694 - 47,389) FTE and working pattern: Full-time (35 hours per week), Fixed Term for 1 year. 2 opportunities available.
Holiday Entitlement: 33 days annual leave plus 9 building closed days (and Christmas Eve when it falls on a weekday).
Heriot-Watt University has established a reputation for world-class teaching and leading-edge, relevant research, which has made it one of the top UK universities for innovation, business and industry. Successful candidates will be a staff member within the School of Mathematical and Computer Sciences and will be working as an Innovation Expert for the Mathematics-Driven Innovation Centre (M-DICE). We welcome applications from candidates across a broad range of mathematical/computational areas, particularly including applicants with background in applied statistics or statistical data science.
An M-DICE Innovation Expert acts as a bridge between academic research and industrial application, driving knowledge exchange, project management, and commercialisation of new ideas. We have funding for two 12-month positions in the first instance, with the possibility of extension.
Key Duties & Responsibilities
- Conduct individual and/or collaborative research project(s), contributing to the design, execution, and management of the project(s), including meeting project milestones and participating in regular discussions with collaborative partners and their line manager.
- Liaise with academics, industrial partners, in collaboration with the Mathematics-Driven Innovation Centre (M-DICE) to identify and develop interdisciplinary research projects.
- Participate in meetings of the unit and prepare and deliver presentations/seminars internal and external.
- Assist with the supervision and mentoring of postgraduate and undergraduate students working on related research projects.
- Publish the results of research in reports and high-quality peer-reviewed academic journals.
- Disseminate knowledge of research advances in computational science through activities such as conference presentations, workshops, and national or international research visits.
- Any other duties within M-DICE, commensurate with the grade of the post.
Essential Criteria
- PhD in applied/computational mathematics or statistics/data science or related fields (or close to successful completion).
- Evidence of a developing publication record.
- Experience or desire to work with those from other disciplines.
- Evidence of excellent administrative and project management skills.
- Evidence of self-motivation and the ability to work independently.
- Evidence of excellent oral and written communication skills.
- Excellent time management skills including the ability to prioritise workload.
Desirable Criteria
- Evidence of working in a knowledge-exchange role in the mathematical sciences.
- Evidence of success in attracting research grants/external funding and delivering on externally funded research projects.
- Evidence or knowledge to support international activities.
- Evidence of a basic knowledge of the Higher Education context and regulatory framework.
We welcome and will consider flexible working patterns, e.g., part-time working and job share options. Heriot-Watt University is committed to securing equality of opportunity in employment and to the creation of an environment in which individuals are selected, trained, promoted, appraised, and otherwise treated on the sole basis of their relevant merits and abilities. Equality and diversity are all about maximising potential and creating a culture of inclusion for all. Heriot-Watt University values diversity across our university community and welcomes applications from all sectors of society, particularly from underrepresented groups.
Contact Details:
Heriot-Watt University Malaysia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate - Innovation Expert for the Mathematics-Driven Innovation Centre (M-DICE)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Heriot-Watt University Malaysia!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Associate - Innovation Expert for the Mathematics-Driven Innovation Centre (M-DICE) at Heriot-Watt University Malaysia.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Heriot-Watt University Malaysia.
✨Apply Directly through Our Website
When you find a suitable opening like Research Associate - Innovation Expert for the Mathematics-Driven Innovation Centre (M-DICE) at Heriot-Watt University Malaysia, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Associate - Innovation Expert for the Mathematics-Driven Innovation Centre (M-DICE)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Heriot-Watt University Malaysia, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Heriot-Watt University Malaysia. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Heriot-Watt University Malaysia
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Heriot-Watt University Malaysia!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.