Research Assistant in Machine Learning (Fixed Term) in Nottingham

Research Assistant in Machine Learning (Fixed Term) in Nottingham

Nottingham Temporary 32080 - 32080 £ / year (est.) No working from home possible
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Conduct cutting-edge research in machine learning and collaborate with an interdisciplinary team.
  • Company: Join a supportive and inclusive university community focused on innovation.
  • Benefits: Competitive salary, professional development, and a diverse work environment.
  • Other info: Opportunity for career growth and collaboration on exciting projects.
  • Why this job: Make a real impact in the field of machine learning and biomaterials.
  • Qualifications: MSc in machine learning or related field, with strong research and communication skills.

The predicted salary is between 32080 - 32080 £ per year.

Location: University Park We are looking to appoint a motivated researcher to conduct computational research in the field of machine learning, specifically at the interface of large language models and statistical mechanics, with applications to scientific areas including the interface of statistical physics and biomaterials, under the EPSRC programme grant "Designing bio-instructive materials for translation ready medical devices." The role holder will be an integral part of an interdisciplinary team of researchers covering a broad range of topics including statistical physics, machine learning and biomaterials, and based in the Condensed Matter Theory group of the School of Physics and Astronomy.

We seek a motivated, skilled and independent researcher to complement our team.

The candidate will carry out the following duties

  • Plan and conduct research using recognized approaches, methodologies and techniques.
  • Manage own research activity and resolve problems, if required, in meeting research objectives and deadlines.
  • Write up research work for publication.
  • Contribute to the dissemination of research results at conferences.
  • Build relationships with both internal and external contacts in order to exchange information, to form relationships for future collaborations, and to identify potential opportunities for collaboration.
  • Collaborate with academic colleagues on areas of shared interest.
  • Provide support, guidance and supervision to other members of the research group, where appropriate, in own areas of expertise.

We are looking for a motivated, skilled and highly independent researcher who can evidence:

  • A minimum of an MSc in machine learning or equivalent in relevant subject area.
  • A strong track record in: machine learning and machine learning engineering software engineering and development
  • Proven Experience in: research in Large Language Models rare event analysis
  • Excellent oral and written communication skills, including the ability to communicate with clarity on complex information.
  • The ability to build relationships and collaborate with others.
  • The ability to creatively apply relevant research approaches, models, techniques and methods.

This full-time position (36.25 hours per week) is available for the earliest start of 01/09/26 for a duration of one year.

Informal enquiries may be addressed to Prof. Juan P. Garrahan ( juan. garrahan@nottingham. ac. uk ).

Our university is a supportive, inclusive, caring and positive community.

We welcome those of different cultures, ethnicities and beliefs - indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus.

Visit our Equality, Diversity and Inclusion website.

We are proud to be a Disability Confident Employer (Level 2) employer .

Increasing the diversity of our community is extremely important to us and we are committed to the aims of Disability Confident Scheme.

We are the first university to have achieved Athena Swan Gold Award .

Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration .

  • Discover your benefits website.
  • To help you succeed, we published Candidate Guidance to provide support on the application and interview process.
  • We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the Moving to Nottingham page for details.
  • £32,080 per annum, depending on skills and experience
  • #J-18808-Ljbffr

Research Assistant in Machine Learning (Fixed Term) in Nottingham employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Assistant in Machine Learning (Fixed Term) in Nottingham

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We think you need these skills to ace Research Assistant in Machine Learning (Fixed Term) in Nottingham

Problem-Solving Skills
Communication Skills
Organizational Skills
Compassion
Flexibility
Teamwork
Adaptability

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at PVH (Tommy Hilfiger/Calvin Klein), make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to PVH (Tommy Hilfiger/Calvin Klein), emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab PVH (Tommy Hilfiger/Calvin Klein)’s attention and show the tangible impact of your work.

How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at PVH (Tommy Hilfiger/Calvin Klein).

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at PVH (Tommy Hilfiger/Calvin Klein).

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at PVH (Tommy Hilfiger/Calvin Klein).