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Advanced Computational Researcher

1 month ago

Aberystwyth, Cardiganshire, United Kingdom Aberystwyth University Full time

Aberystwyth University is seeking a highly skilled and motivated researcher to join our dynamic project team as an Advanced Computational Researcher. The successful candidate will be at the forefront of developing innovative computational tools tailored for the ceramics industry, playing a pivotal role in bridging the academic research and industrial application gap.

Job Description

The Role:

We are looking for an exceptional researcher with a robust background in computer science to develop advanced computational methods to maximize kiln packing density, contributing to environmental sustainability and cost efficiency. This involves creating customized algorithms to optimize the dense packing of complex-shaped objects and leveraging machine learning techniques to enhance the packing process.

This is an exciting opportunity to contribute to a critical project, develop valuable contacts and expertise in both academia and industry, gain essential skills in an Industry 4.0 environment, and be part of a multi-disciplinary team. The Associate will be responsible for managing the project from inception to completion, proactively addressing technical and resource challenges as they arise.

Main Duties & Responsibilities:

  • To apply expertise in C programming, focusing on developing Computational Geometry Algorithms Library (CGAL) tools and customized C code for simulating the optimal packing of complex objects.
  • To utilize proficiency in Python and experience with AI frameworks, such as PyTorch, for machine learning segments of the project, while also demonstrating full-stack development skills for interface creation using technologies like JavaScript and React.
  • To collaborate effectively with remote teams, implement version control (GIT) for documentation, and demonstrate effective communication and documentation skills to ensure successful project execution and progression.
  • There is a hands-on aspect to the role as it will involve working with kiln loading personnel to understand the challenges of real-world refractory loading problems and to grasp the various products and associated kiln loading constraints.
  • Understanding and suggesting kiln loading techniques, including solutions generated by computer simulation, while liaising with departments such as Sales, Technical, and Production to identify new and improved loading/stacking methods.
  • Identify and implement improvements in tests, processes, and equipment to enhance both workplace safety and the quality of results.
  • Monitor the project budget, ensuring fiscal responsibility and efficient allocation of resources throughout the project.
  • Monitor relevant technology advances in literature.
  • Preparing weekly and monthly progress reports, as well as technical reports as needed. Additionally, attending project meetings and providing detailed updates to the team.

About the Company:

Parkinson Spencer Refractories (PSR) is an independent, family-owned UK manufacturer with roots dating back to 1800. They specialize in refractory products and engineered systems for the glass container manufacturing industry. Their core business includes producing feeder expendables and forehearth and distributor refractories, along with designing and supplying glass conditioning systems.

About the Role:

This is an excellent opportunity for a commercially minded individual interested in developing advanced computerized solutions for a pioneering industrial company. The successful candidate will have the ability to work independently and collaboratively within a team, interpret data and assimilate its implications in context of the study aims and objectives.

Requirements:

  • Hold (or about to be awarded) a Ph.D. in Mathematics, Computer Science or an equivalent discipline.
  • Strong background in scientific computing with a focus on optimization and algorithm development
  • Proficiency in Python and C programming.
  • Excellent communication skills, both written and verbal. Excellent communication and interpersonal skills.
  • Ability to work independently and collaboratively within a team.
  • An ability to interpret data and assimilate its implications in context of the study aims and objectives.

Salary:

The salary for this role is approximately £35,000 - £50,000 per annum, depending on experience.

Benefits:

  • Flexible working policy
  • 36.5 - hour week for full-time roles
  • Generous leave entitlements - 27 days annual leave plus bank holidays and university closed days
  • Commitment to Professional Development
  • Enhanced contribution to our workplace pension schemes
  • Staff recognition and reward schemes
  • Opportunity to learn the Welsh language for free
  • Staff relocation bursary
  • Maternity, Paternity, Parental and Adoption Leave