Barnard College

Ref.: 536753 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Department of Psychology (Ref.: 536753) Applications are invited for appointment as Post-doctoral Fellow in the Department of Psychology (Ref.: 536753) to commence on August 3, 2026, or as soon as possible for two years, with the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in Developmental/Educational Psychology or other related disciplines. They should have good academic publication record in developmental/educational psychology. They should also have the experiences of overseeing the implementation of a large-scale research project. Knowledge and experience in assessment development are desirable. Applicants should have a high level of writing proficiency in English and demonstrated ability in writing up research findings for both academic and general audiences, and be self-motivated, responsible and able to work independently and within a team. The appointee will work on various projects related to children’s and adolescents’ mathematics and science learning. Duties include literature review, development of assessment materials, liaise with external parties, supervision of research staff and research interns, data processing and analysis, preparation of manuscripts and reports, development of new research initiatives, and other research-related duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., and provide the names of three referees on the online application form. Review of applications will commence as soon as possible and continue until July 19, 2026, or until the post is filled, whichever is earlier.

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.

Job Responsibilities The successful candidate will be expected to: Teach and assess undergraduate courses related to: Introduction to Project Work Introduction to Scientific Work Scientific research methods Academic writing Develop course materials, teaching plans, assignments, and assessment methods aligned with international academic standards and applied learning principles. Support students in developing scientific research skills, including literature review, research design, data collection, data analysis, research ethics, and academic presentation. Supervise student projects, group work, workshops, and practical training activities. Contribute to curriculum development and continuous improvement of teaching quality. Job Qualifications Master's degree or above in Teaching experience in project management, research methods, academic writing, engineering research, or related subjects. Practical experience in managing technical, engineering, innovation, or software-related projects. Experience supervising undergraduate projects, research reports, or student competitions. Excellent communication skills in English; Chinese language skills are a plus Industry experience preferred Must have a research background in Artificial Intelligence, Machine Learning, or Deep Learning. Must have published academic papers in related fields such as AI, Deep Learning, Machine Learning, Computer Vision, NLP, Large Language Models, or Multimodal Learning. 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