The Role
What you’ll do
Who you are – Qualifications, Experience, Knowledge and Skills required
How to apply
Benefits
Employment Visa
The Role
We are looking for a highly skilled and motivated Associate with a robust background in computer science to join our dynamic project team at Aberystwyth University. The successful candidate will be at the forefront of developing advanced computational tools tailored for the ceramics industry, playing a pivotal role in bridging the gap between academic research and industrial application. This role requires expertise in creating customized algorithms to optimize the dense packing of complex-shaped objects, a key innovation that will lead to a significant reduction in the ceramics industry’s carbon footprint, driving critical environmental benefits. These advancements are not just a technical improvement but a vital step toward sustainability in the industry. Additionally, the Associate will leverage innovative machine learning techniques to enhance the packing process and design intuitive, user-friendly front-end tools accessible to non-specialists. The Associate will be embedded with the industrial partner, Parkinson-Spencer Refractories, in Halifax, UK, where they will reside and work closely with the company. They will be responsible for thoroughly documenting the project using a version control workflow, a crucial practice that ensures changes to the project’s code and documentation are tracked, allowing for collaboration, error recovery, and improved organization. Proficiency in C programming and Python is essential for this role. Additionally, experience with machine learning frameworks and full-stack development skills are highly desirable and will significantly enhance the candidate's ability to contribute to the project. 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. There is significant potential for career progression opportunities beyond this project for the successful candidate. The role offers a £4,000 personal development budget to attend conferences, gain certifications, and expand your expertise in advanced technologies. To make an informal enquiry, please contact Dr Adil Mughal at aqm@aber.ac.uk or Jafar Daji at Jafar.Daji@parkinson-spencer.co.uk. Appointments are normally made within 4 - 8 weeks of the closing date. What you’ll do
This job description is subject to review and amendment in the light of the changing needs of the University, to provide appropriate development opportunities and/or the addition of any other reasonable duties. About the role
Working with a team of both scientists and industry-focused professionals, the Associate will collaborate closely with researchers at Aberystwyth University to explore and identify commercially viable applications for PSR’s innovative manufacturing processes. The Associate will be responsible for developing a computerized system to optimize kiln packing density, navigating challenges in technical execution, resource management, collaboration, and project oversight. Essential to this role is experience in planning, conducting, and testing scientific simulations, with the code development undertaken in close collaboration with the academic team. Hands-on collaboration with kiln-loading personnel will be crucial to understand real-world constraints and ensure practical solutions. Key technical challenges include coding for objects with variable shapes, which will require the implementation of advanced algorithms and extensive testing. The project will progress from simpler scenarios to more complex ones, demanding a meticulous approach to ensure accuracy and efficiency. Maintaining comprehensive documentation via version control (e.g. GIT) is crucial. The Associate will be responsible for managing the project from inception to completion, proactively addressing technical and resource challenges as they arise. This is an excellent opportunity for a commercially minded individual interested in developing advanced computerized solutions for a pioneering industrial company. 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. To undertake health and safety duties and responsibilities appropriate to the post. Any other reasonable duties requested commensurate with the grade of this role. Who you are – Qualifications, Experience, Knowledge and Skills required
Essential
Demonstrated expertise in scientific computing, with a focus on optimization and algorithm development, supported by a master's degree in mathematics, physical sciences, computer science, or a related field. Outstanding candidates with a bachelor’s degree and substantial post-graduate industrial experience will also be considered. Strong programming skills, with proven experience in at least one of C or Python, and the ability to quickly learn and apply new programming languages or tools as needed. Excellent interpersonal and communication skills (both written and verbal). Ability to work independently and collaboratively within a team and in an industrial environment. An ability to interpret data and assimilate its implications in context of the study aims and objectives. The ability to manage time effectively and to deliver detailed reports to strict deadlines. An ability to understand the bilingual nature of the University and an awareness of the procedures in place to support working bilingually. Desirable
Possess (or be near completion of) a Ph.D. in mathematics, computer science, physical sciences, or a closely related field. Experience with machine learning techniques (such as PyTorch) and their practical applications. Full-stack development skills (e.g. experience with JavaScript and React). Good public speaking & presentation skills. A valid driving licence. Knowledge and experience with Git for version control and documentation. Oral (spoken) and Written Welsh Level B1. How to apply
To promote a flexible workforce, the University will consider applications from individuals seeking full time, part time, job share, or term time only working arrangements. Applications for this role must be made through jobs.aber.ac.uk. You are welcome to apply for any vacancy in Welsh or English and any application submitted will be treated equally. 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 Staff discount for gym facilities, hospitality, and retail on campus. Please keep reading
We welcome applicants from all backgrounds and communities and, those that are currently underrepresented in our workforce. This includes but is not limited to Black, Asian and Minority Ethnic candidates, candidates with disabilities, and female candidates. We are a Bilingual Institution which complies with the Welsh Language Standards and is committed to Equal Opportunities. Welsh language skills are considered an asset to the institution, and we encourage and support staff to learn, develop and use their Welsh language skills in the workplace. You are welcome to apply for any vacancy in Welsh or English and any application submitted will be treated equally. Employment Visa
Under the UK Government’s points-based system scheme, this role does not meet the criteria to be sponsored by Aberystwyth University (AU) for a Skilled Worker Route (SWR) application.
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We are looking for a highly skilled and motivated Associate with a robust background in computer science to join our dynamic project team at Aberystwyth University. The successful candidate will be at the forefront of developing advanced computational tools tailored for the ceramics industry, playing a pivotal role in bridging the gap between academic research and industrial application. This role requires expertise in creating customized algorithms to optimize the dense packing of complex-shaped objects, a key innovation that will lead to a significant reduction in the ceramics industry’s carbon footprint, driving critical environmental benefits. These advancements are not just a technical improvement but a vital step toward sustainability in the industry. Additionally, the Associate will leverage innovative machine learning techniques to enhance the packing process and design intuitive, user-friendly front-end tools accessible to non-specialists. The Associate will be embedded with the industrial partner, Parkinson-Spencer Refractories, in Halifax, UK, where they will reside and work closely with the company. They will be responsible for thoroughly documenting the project using a version control workflow, a crucial practice that ensures changes to the project’s code and documentation are tracked, allowing for collaboration, error recovery, and improved organization. Proficiency in C programming and Python is essential for this role. Additionally, experience with machine learning frameworks and full-stack development skills are highly desirable and will significantly enhance the candidate's ability to contribute to the project. 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. There is significant potential for career progression opportunities beyond this project for the successful candidate. The role offers a £4,000 personal development budget to attend conferences, gain certifications, and expand your expertise in advanced technologies. To make an informal enquiry, please contact Dr Adil Mughal at aqm@aber.ac.uk or Jafar Daji at Jafar.Daji@parkinson-spencer.co.uk. Appointments are normally made within 4 - 8 weeks of the closing date. What you’ll do
This job description is subject to review and amendment in the light of the changing needs of the University, to provide appropriate development opportunities and/or the addition of any other reasonable duties. About the role
Working with a team of both scientists and industry-focused professionals, the Associate will collaborate closely with researchers at Aberystwyth University to explore and identify commercially viable applications for PSR’s innovative manufacturing processes. The Associate will be responsible for developing a computerized system to optimize kiln packing density, navigating challenges in technical execution, resource management, collaboration, and project oversight. Essential to this role is experience in planning, conducting, and testing scientific simulations, with the code development undertaken in close collaboration with the academic team. Hands-on collaboration with kiln-loading personnel will be crucial to understand real-world constraints and ensure practical solutions. Key technical challenges include coding for objects with variable shapes, which will require the implementation of advanced algorithms and extensive testing. The project will progress from simpler scenarios to more complex ones, demanding a meticulous approach to ensure accuracy and efficiency. Maintaining comprehensive documentation via version control (e.g. GIT) is crucial. The Associate will be responsible for managing the project from inception to completion, proactively addressing technical and resource challenges as they arise. This is an excellent opportunity for a commercially minded individual interested in developing advanced computerized solutions for a pioneering industrial company. 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. To undertake health and safety duties and responsibilities appropriate to the post. Any other reasonable duties requested commensurate with the grade of this role. Who you are – Qualifications, Experience, Knowledge and Skills required
Essential
Demonstrated expertise in scientific computing, with a focus on optimization and algorithm development, supported by a master's degree in mathematics, physical sciences, computer science, or a related field. Outstanding candidates with a bachelor’s degree and substantial post-graduate industrial experience will also be considered. Strong programming skills, with proven experience in at least one of C or Python, and the ability to quickly learn and apply new programming languages or tools as needed. Excellent interpersonal and communication skills (both written and verbal). Ability to work independently and collaboratively within a team and in an industrial environment. An ability to interpret data and assimilate its implications in context of the study aims and objectives. The ability to manage time effectively and to deliver detailed reports to strict deadlines. An ability to understand the bilingual nature of the University and an awareness of the procedures in place to support working bilingually. Desirable
Possess (or be near completion of) a Ph.D. in mathematics, computer science, physical sciences, or a closely related field. Experience with machine learning techniques (such as PyTorch) and their practical applications. Full-stack development skills (e.g. experience with JavaScript and React). Good public speaking & presentation skills. A valid driving licence. Knowledge and experience with Git for version control and documentation. Oral (spoken) and Written Welsh Level B1. How to apply
To promote a flexible workforce, the University will consider applications from individuals seeking full time, part time, job share, or term time only working arrangements. Applications for this role must be made through jobs.aber.ac.uk. You are welcome to apply for any vacancy in Welsh or English and any application submitted will be treated equally. 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 Staff discount for gym facilities, hospitality, and retail on campus. Please keep reading
We welcome applicants from all backgrounds and communities and, those that are currently underrepresented in our workforce. This includes but is not limited to Black, Asian and Minority Ethnic candidates, candidates with disabilities, and female candidates. We are a Bilingual Institution which complies with the Welsh Language Standards and is committed to Equal Opportunities. Welsh language skills are considered an asset to the institution, and we encourage and support staff to learn, develop and use their Welsh language skills in the workplace. You are welcome to apply for any vacancy in Welsh or English and any application submitted will be treated equally. Employment Visa
Under the UK Government’s points-based system scheme, this role does not meet the criteria to be sponsored by Aberystwyth University (AU) for a Skilled Worker Route (SWR) application.
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