Rajamangala University of Technology Krungthep

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  Job Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.• Undertake these responsibilities in the project: i. Lead and support high quality publications to disseminate the applied research outcomes. ii. Plan, organize and carry out experiments and trials in the food pilot plant to achieve the objectives iii. Manage and complete the project by presenting the findings in conferences or meetings with industrial collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences. v. Engage and communicate with collaborators for progress meetings and report generation to meet the grantor's requirements. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Job requirements Have relevant competence in the areas of protein chemistry, analytical chemistry for amino acid profiling, polyphenol profile analysis, SDS-PAGE, and protein hydrolysis. Have a degree in Food Science and Technology, or Analytical Chemistry. Possessing a Master's or PhD degree will be advantageous Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol identification. Previous experience as lab-in-charge or equipment-in-charge will be advantageous. Able to communicate with industrial collaborators to share key findings, seek supports, or conducting commercial trials. Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award-winning campus offers a UK-style education and has grown to a student body of over 10,000 in just 21 years. As part of the University of Nottingham’s Global University, UNNC provides exceptional opportunities for teaching and research in one of the world’s most dynamic economies. We are seeking an outstanding academic leader to join the Department of Electrical and Electronic Engineering as Professor in Electrical Engineering, specifically in the field of Power Electronics and Drives. The successful candidate will bring a proven record of achievement in research, teaching, and academic leadership, together with a clear vision for advancing the discipline and inspiring the next generation of engineers. Key Responsibilities Plan and lead the development and implementation of a research strategy in Electrical and Electronic Engineering, building national and international reputation. Provide academic leadership, including mentoring and supporting colleagues, and fostering an inclusive and high-performing academic community. Contribute to curriculum development, ensuring innovative approaches to learning, teaching, and assessment that reflect international best practice. Lead and support major funding bids, develop partnerships with industry and external organisations, and sustain research support for the discipline. Represent and enhance the reputation of the Department, Faculty, and University through scholarly outputs, academic networking, and engagement with professional bodies. Take on leadership and management roles within the Department, including the appointment, development, and performance of academic teams. Essential Qualifications and Experience PhD in Electrical and Electronic Engineering or a closely related field. An international profile of excellence in research, with a sustained record of high-quality publications in leading peer-reviewed journals. Strong evidence of success in securing major national and international competitive research grants, and in leading large-scale, externally funded research projects. Proven record of excellence in teaching and learning, with experience of curriculum design, innovation, and quality assurance. Demonstrated academic leadership, including mentoring PhD students, junior colleagues and contributing to departmental and faculty strategy. Excellent communication skills and the ability to build strong internal and external collaborations. Your Remuneration, Benefits and Support The successful candidate will be offered a five-year contract that may be extended by mutual agreement. Salary is negotiable within the professorial range, depending on skills and experience. A comprehensive benefits package is provided, including accommodation allowance, insurance, schooling support, home flight allowance, relocation and repatriation support, and paid annual leave. Opportunities may also be available to apply for Chinese talent schemes, subject to eligibility. For candidates who have reached the statutory retirement age under Chinese regulations, a service agreement will be offered instead. How to Apply Applicants are invited to submit their applications via the application link below.  https://jobs.nottingham.edu.cn/job/184340/ Applications should include but are not limited to the following: A cover letter (please indicate clearly the position and level for which you are applying) An up-to-date CV A full publication list Only applications submitted online at the designated link will be accepted. Unless specified otherwise, referees will be contacted prior to interview. Interviews will take place in Ningbo China or online if travel to Ningbo is not feasible. Enquiries Informal enquiries regarding this role may be addressed to Dr C.F. Kwong, Department Head of Electrical and Electronic Engineering, email: chiew-foong.kwong@nottingham.edu.cn. If you are unable to apply on-line, please contact the Human Resources Office (Tel: 86 574 8818 0000 – 8404; Email: job@nottingham.edu.cn).  Equality and Diversity University of Nottingham Ningbo China is an equal opportunity employer. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and staff. It is our intention to ensure that job applicants and staff are treated solely on the basis of their merits, abilities and potential, regardless of gender, race, colour, nationality, ethnic or national origin, age, socio-economic background, disability, religious or political beliefs, trade union membership, family circumstances, sexual orientation or other irrelevant distinction.

Role type: Full-time; Continuing Faculty: Science Department/School: School of Mathematics and Statistics Salary: Level of appointment is subject to qualification and experience Level B: AUD $124,656 -$148,023 p.a. Level C: AUD $152,695 -$176,065 p.a. Level D: AUD $183,859 - $202,556 p.a. plus 17% super(retirement savings system/pension scheme) Develop innovative statistical methods for complex 'omics datasets. Apply now to join a world-class school in a leading University. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in the Melbourne Integrative Genomics research hub, optimisation researchers in the ARC Training Centre OPTIMA, biological systems modelling or quantum biotechnologies in the ARC Centres MACSYS and QUBIC, as well as applied and theoretical approaches to data science in other departments/faculties across the University.Your next career opportunity The School of Mathematics and Statistics invites applications for a Lecturer/Senior Lecturer, or Associate Professor from dynamic individuals at the forefront of 'omics technologies. The appointment will be at Level B, C, or D (Lecturer, Senior Lecturer, or Associate Professor), depending on the candidate's previous experience. The research will develop and apply statistical methods to complex 'omics data such as genomics, transcriptomics, and microbiome data, with encouragement for work in statistical machine learning. We seek a candidate whose profile complements the School's strengths in data science, including mathematics, statistics, machine learning, optimisation, biostatistics, and genomics. A strong commitment to high-quality teaching and supervision of undergraduate, MSc, and PhD research students is essential. You will be affiliated with Melbourne Integrative Genomics (MIG), a University initiative focused on pioneering statistical methods for omics data. Your responsibilities will include: Conduct Innovative Research: Lead a research programme in statistical genomics, publish in high-impact journals, and secure external funding. Deliver High-Quality Education: Develop and teach statistics and data science courses at undergraduate and postgraduate levels. Supervise Research Students: Guide MSc and PhD students in their research projects, fostering the next generation of data scientists. Engage in Interdisciplinary Collaboration: Work with researchers across the university on cutting-edge projects in bioinformatics and machine learning. You may be a great fit if: You have a strong statistics background and expertise in computational biology to establish and lead a high-level research program. You may also: Hold a PhD in statistics or a closely related discipline. Have a strong publication record in statistical learning applied to large biological datasets. Demonstrate the ability to secure research funding through competitive grant schemes. Possess excellent teaching skills and the ability to develop curriculum in data science. Have experience in supervising graduate students and fostering their academic growth. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "School of Mathematics and Statistics" The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students.The School has had 10 staff members inducted as Fellows of the Academy of Science. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities. The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods.To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au.You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne. For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerringIf you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au. Working at the University - what you need to know This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures. Please note: Visa sponsorship is available for this position. Join Us and unlock your career potential! Is this the perfect opportunity for you? Apply today! Including the following documents: Resume Cover Letter outlining your interest and experience The responses against the Selection Criteria^ (found in the Position Description) ^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address. If you have any particular questions regarding the job please follow the details listed on the Position Description. Applications close: 2 February 2026, 11:00 PM / Melbourne time zone. Position Description:JR-001551 Lecturer Senior Lecturer Associate Professor in Statistics for Omics_PD.pdf