AI Research Associate - Multimodal Data & ML in Liverpool

AI Research Associate - Multimodal Data & ML in Liverpool

Liverpool Full-Time 29700 - 36300 £ / year (est.) No working from home possible
L

At a Glance

  • Tasks: Conduct high-impact AI research and collaborate on exciting projects.
  • Company: Join Liverpool John Moores University’s innovative AI and Digital Technologies Research Institute.
  • Benefits: Engage in cutting-edge research with opportunities for professional growth.
  • Other info: Dynamic research environment with collaborative opportunities across disciplines.
  • Why this job: Make a real difference in AI while working with diverse teams.
  • Qualifications: PhD in AI, strong programming skills in Python/R, and great communication.

The predicted salary is between 29700 - 36300 £ per year.

Liverpool John Moores University (LJMU) invites applications for a Research Associate in Artificial Intelligence to join the AI and Digital Technologies Research Institute (AIDTRI).

The role focuses on high-impact AI research and data science, contributing to funded projects and collaborating across disciplines.

We seek a Ph D holder with strong AI expertise, Python/R programming, and excellent communication skills to work both independently and with teams within AIDTRI.

#J-18808-Ljbffr

AI Research Associate - Multimodal Data & ML in Liverpool employer: Liverpool John Moores University

Liverpool John Moores University is an outstanding employer that fosters a collaborative and innovative work culture, making it an ideal place for academic leaders passionate about nursing education. With a strong commitment to employee development, you will have access to numerous growth opportunities, including professional training and research initiatives, all while being part of a vibrant community in the heart of Liverpool. The university's focus on academic excellence and strategic partnerships ensures that you will play a pivotal role in shaping the future of nursing education.

L

Contact Details:

Liverpool John Moores University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Research Associate - Multimodal Data & ML in Liverpool

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 Liverpool John Moores University!

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 AI Research Associate - Multimodal Data & ML at Liverpool John Moores University.

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 Liverpool John Moores University.

Apply Directly through Our Website

When you find a suitable opening like AI Research Associate - Multimodal Data & ML at Liverpool John Moores University, 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 AI Research Associate - Multimodal Data & ML in Liverpool

Artificial Intelligence Expertise
Data Science
Python Programming
R Programming
Communication Skills
Collaboration Skills
Independent Working

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 Liverpool John Moores University, 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 Liverpool John Moores University. 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 Liverpool John Moores University

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 Liverpool John Moores University!

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.