Innovation Expert – Math & CS Research (1-year)

Innovation Expert – Math & CS Research (1-year)

Full-Time 30000 - 40000 Β£ / year (est.) Home office (partial)
Heriot-Watt University Malaysia

At a Glance

  • Tasks: Contribute to exciting research projects in applied statistics and data science.
  • Company: Heriot-Watt University Malaysia, a leader in innovative research.
  • Benefits: Flexible working patterns and opportunities for collaboration.
  • Other info: Collaborate with diverse partners in a supportive research environment.
  • Why this job: Join a dynamic team and make a real impact in mathematical and computer science research.
  • Qualifications: PhD or nearing completion with a developing publication record.

The predicted salary is between 30000 - 40000 Β£ per year.

Heriot-Watt University Malaysia invites applications for the role of Research Associate in Mathematical and Computer Science.

This full-time position involves contributing to research projects as part of the Mathematics-Driven Innovation Centre, focusing on applied statistics and data science.

The role offers an excellent opportunity for individuals with a Ph D or nearing completion, a developing publication record, and a desire to collaborate with diverse partners.

Flexible working patterns may also be considered.

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Heriot-Watt University Malaysia

Contact Details:

Heriot-Watt University Malaysia Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Innovation Expert – Math & CS Research (1-year)

✨Get Involved in Data Science Meetups

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When you find a suitable opening like Innovation Expert – Math & CS Research (1-year) 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 Innovation Expert – Math & CS Research (1-year)

Applied Statistics
Data Science
Research Skills
Publication Record
Collaboration
Mathematical Modelling
Analytical Thinking

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.