Ministry of Higher Education, Science, Research and Innovation

School of Computer Science and Mathematics, Liverpool John Moores University in partnership with Ames Goldsmith UK Limited This post is fixed term for 30 months £38,000-£42,000 per annum depending on experience Full time: 37.5 hours per week Based on site at Ames Goldsmith in Kirkby, this Process Engineer (KTP Associate) post is part of the Engineering team reporting directly to the UK Operations Manager and is a 30-month fixed-term contract. This role will lead a manufacturing improvement programme at Ames Goldsmith UK Ltd, focused on improving cost, capacity and overall performance through better use of production and business data. Working as part of a Knowledge Transfer Partnership (KTP) with Liverpool John Moores University, the Associate will use their engineering and computational knowledge, alongside developing skills in data analysis and digital tools, to deliver practical improvements and help build long-term capability within the business. The role will also involve some collaboration with Ames Goldsmith’s sister company, Ceimig Limited, particularly where there are opportunities to share learning or apply improvements across both UK sites. Key responsibilities include: Use production, quality and business data to spot where things can run better, cheaper, or more efficiently. Lead the move away from paper-based across all business processes towards simpler, more reliable digital ways of working (e.g. SOPs, data capture, reporting). Take ownership of a defined programme of work, delivering staged improvements from data capture through to analysis, optimisation, and implementation. Build practical tools (such as dashboards or reports) that help operators and managers make better decisions. Plan and deliver improvement projects focused on reducing costs, increasing capacity, and making processes more efficient. Help shape forward plans for maintenance, improvement work, and future engineering priorities. Make sure improvements are properly embedded into day-to-day operations so they continue to deliver value over time. We are looking for graduates in engineering, computer science, data science or related technical disciplines who want to build experience in data-led manufacturing and progress towards a technical or operational leadership role. Other requirements include: Experience in applying technical knowledge and skill to solve problems of a commercial nature. Evidence of independently managing development projects in either an academic or industrial environment. Ability to work with data (e.g. analysing datasets, using Excel or similar tools) and draw practical conclusions. Excellent technical report writing and presentation skills. Ability to work individually and as a member of a team. The successful candidate will also be required to travel to and from the primary place of business for standard working hours and have the ability to travel independently for business purposes.  Appointment will be subject to a satisfactory basic criminal record check (DBS) and satisfactory 5-year referencing.  Further information can be found in the attached Job Description document. LJMU values diversity and provides a supportive and inclusive environment where everyone can fulfil their potential. Please let us know if you require reasonable adjustments during the recruitment process.  Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.

Part-Time - 0.6 FTE Fixed Term position 3 – 5 years Senior Leadership role  Hybrid work model About the position The University Ombudsman provides a confidential, impartial and independent service that supports the early resolution of concerns, promotes procedural fairness and identifies opportunities to strengthen organisational culture and governance. This is a unique opportunity to influence positive change across the University by building trust, resolving complex issues and providing strategic advice on emerging and systemic matters. Skills and Experience To be considered for this position, you will have: Extensive experience managing highly confidential and sensitive matters. Exceptional judgement, diplomacy and emotional intelligence. Demonstrated experience in mediation, conflict resolution, restorative practice or organisational dispute resolution. The ability to provide trusted advice to senior executives and governing bodies. Strong analytical skills with the ability to identify systemic issues and recommend practical organisational improvements. Outstanding communication, negotiation and stakeholder engagement skills. A commitment to fairness, procedural justice, inclusion and ethical leadership. Key Responsibilities As University Ombudsman you will: Provide confidential, impartial guidance on complex workplace and academic concerns. Facilitate the early and informal resolution of disputes through coaching, mediation and facilitated conversations. Build trusted relationships across all levels of the University while maintaining complete independence and neutrality. Identify recurring themes and systemic issues and provide strategic advice to the Vice-Chancellor and University leadership. Develop annual reports and recommendations that strengthen governance, culture and organisational effectiveness. Promote awareness of respectful conflict resolution, procedural fairness and effective communication. Please refer to the Position Description for other duties, skills and experience required for this position. University Ombudsman PD Final.docx  Benefits 17% superannuation Private Health Insurance discount Plus, many more, click HERE How to apply Closing Date: By 11:55pm on 2nd August, 2026 Position Enquiries: Peter Andreopoulos – Director Talent Acquisition and Remuneration Email: P.Andreopoulos@latrobe.edu.au Please submit an online application ONLY and include the following documents: An up to date resume; and No more than 2 pages outlining why you are suitable for this role Only candidates with Full Working Rights in Australia may apply for this position. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. Our commitment to diversity and inclusion La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Our commitment to safety  All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in Higher Education La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy. 

Job Responsibilities Teach and assess at least 3 courses from the following 4 core subjects: Programming 1(Python) Fundamentals of AI Data Analytics & Machine Learning Deep Learning Develop course materials and curricula aligned with international standards and industry practices in AI, machine learning, and electrical engineering applications. Engage in applied research and publish in peer-reviewed journals. Collaborate with industry partners on AI-driven electrical systems, data analytics, predictive maintenance, and intelligent automation projects. Supervise student projects related to AI applications, machine learning models, data-driven engineering, and intelligent electrical systems.   Job Qualifications Master’s degree or above in Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, Automation, or a closely related field. Strong background in artificial intelligence, machine learning, data analytics, and programming. Proficiency in Python and experience with AI/ML frameworks. Practical industry experience in AI, automation, smart systems, or electrical engineering applications is an advantage. Excellent communication skills and a strong commitment to high-quality teaching in an international environment. Proficiency in English; knowledge of German and/or Chinese is a plus but not required.   Expected Onboarding Date August 2026 Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality Paid Holidays Statutory Holidays (13days) Annual Leave (25 days) Paid Sick Leave Paid Marriage Leave Paid Maternity Leave Paid Paternity Leave Parental Leave How to apply Please prepare the following documents: Current English CV(including full publication list) Cover Letter(addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor’s (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as ” Position – Your Name” Please send all files to recruitment@hibiuh.edu.cn