Jizzakh Polytechnic Institute

Promotion Fair 1. London Session Time: 10:00-12:00 Date: 23 January 2026 Location: Storey’s Gate, Westminster, London, SW1P 2. Birmingham Session Time: 10:00-12:00 Date: 25 January 2026 Location: Discover, The Birmingham Conference & Events Centre, Hill Street, Birmingham B5 4EW 3. Glasgow Session Time: 10:00-12:00 Date: 26 January 2026 Location: Clyde, Hilton Glasgow, 1 William Street, Glasgow, G3 8HT Registration https://v.wjx.cn/vm/OuSi9UO.aspx Note: We will contact successful registrants for more details of the event rundown in due course About BNBU Strategically located in the heart of China’s most vibrant Greater Bay Area, our campus is within the one-hour livelihood circle that encompasses Hong Kong, Macau, Shenzhen and Guangzhou. Founded in 2005, BNBU is jointly established by Beijing Normal University and Hong Kong Baptist University and enjoys a fine reputation as a pioneer in liberal arts education. Attracting prestigious scholars from around the world, it is a campus of robust international culture, where all classroom lessons are taught in English. Long a magnet for students with ambitions of studying overseas, BNBU sees many of its graduates snapped up by the world’s leading universities. Our Faculty of Business and Management, Faculty of Humanities and Social Sciences, Faculty of Science and Technology, School of Culture and Creativity, School of AI and Liberal Arts, and School of General Education together offer a total of 32 undergraduate programmes and more than a dozen postgraduate programmes. Growing rapidly in size, quality and diversity, BNBU now attracts over 10,000 students to its picturesque campus in the coastal city of Zhuhai, and is actively recruiting first-class faculty members to make it a top-tier liberal arts university in China. Talent Acquisition Academic positions Faculty of Business and Management Accounting Finance Applied Economics Business Analytics Management of Human Resources Marketing Management e-Business Management and Information Systems Entrepreneurship and Innovation Digital Media Management   Faculty of Humanities and Social Sciences Public Relations and Advertising Media and Communication Studies English Language and Literature Studies Applied Translation Studies Digital Social Science Globalisation and Development Chinese Culture and Global Communication   Faculty of Science and Technology Applied Mathematics Financial Mathematics Data Science Statistics Computer Science and Technology Artificial Intelligence Environmental Science Food Science and Technology Applied Psychology   School of Culture and Creativity Culture, Creativity and Management Media Arts and Design Tourism, Hospitality and Event Management Animation and Interactive Media Game Design Cinema and Television Music Performance   School of AI and Liberal Arts Computational Media + N Digital Global Communication + N Intelligent Business Leadership + N Math + N   School of General Education Chinese Language and Culture Centre Centre for Foreign Languages Whole Person Education Centre Sports, Health and Communication Qualification Requirements Candidates should have a Ph.D. degree in a related discipline. Successful candidates are expected to be committed to excellence in teaching at undergraduate or postgraduate levels. Preference will be given to candidates with demonstrable ability to undertake independent research leading to outcomes with a strong impact, such as publication in high-quality, internationally recognized, indexed journals and scholarly presses. Academic rank will be determined in accordance with successful candidates’ experience and accomplishments.   Disciplinary Leaders We are now seeking accomplished and forward-thinking scholars to join us as Disciplinary Leaders, tasked with steering the strategic development and future growth of our key academic fields including: Accounting; Business Analytics; Business Management (including but not limit to Human Resources, Marketing Management, and Digital Media Management); Public Relations and Advertising; Data Science; Environmental Science; Applied Psychology; Game Design; Culture, Creativity & Management and Media Arts and Design. Job Description These senior faculty positions are pivotal to our mission. The successful candidates will provide the intellectual vision and academic direction to elevate their disciplines, ensuring they remain at the forefront of innovation, relevance, and scholarly impact. The appointed Discipline Leader will be entrusted with the following key responsibilities: Qualification Requirements The candidates should hold a Ph.D. or equivalent, supported by a strong international record of research and publication. He/she should be a visionary leader and distinguished scholar, who is eligible for faculty appointment as a full professor. Essential qualities include demonstrated academic leadership, a commitment to interdisciplinary collaboration, a passion for teaching in a multicultural setting, and excellent communication skills, all underpinned by a genuine dedication to building an inclusive academic environment. Provide Strategic Academic Leadership: Define and implement a compelling strategic vision for the discipline, guiding its development, innovation, and long-term growth in alignment with BNBU's mission. Champion Research Excellence: Establish and sustain a world-class, competitively funded research programme, fostering a vibrant culture of scholarly inquiry, publication, and innovation within the discipline. Mentor the Next Generation: Provide inspirational guidance and mentorship to undergraduate and postgraduate students, while actively supporting the professional development of junior faculty members. Drive Curriculum Innovation: Lead the ongoing enhancement and modernization of the curriculum, ensuring pedagogical excellence and maintaining the discipline's relevance in an evolving global context. Forge Strategic Partnerships: Develop and nurture robust relationships with industry, professional bodies, and international institutions to create impactful collaborations and expand the discipline's reach and influence. Excellent Young Scientists Fund Program (Overseas) for 2026 Qualification Requirements Applicants should: abide by laws of the People’s Republic of China and have good ethics in science be born after 1 January, 1986 have obtained a doctoral degree have research interests mainly in science and technology, and related disciplines prior to 15 April 2026, have no less than three years’ continuous research or teaching experience outside Chinese Mainland in a prestigious university or R&D institute be living outside or haven’t returned to Chinese Mainland before 1 January, 2025 and willing to work full time for three years in Chinese Mainland with no other full-time employments outside Chinese Mainland Benefits 1. Salary: Competitive salary (similar to Hong Kong Baptist University) Those eligible may enjoy relevant subsidies and relocation allowance Those eligible may apply for Talents Subsidy of Greater Bay Area  2. Research fund: Provide relevant research funding support Provide laboratory space, office, support to build up innovative research team, etc.  3. Other supports: Provide support for admitting doctoral and postgraduate students Provide housing allowance and staff residential apartments in the future Provide children’s education assistance Help with applying for High-level Talent’s Card of Guangdong and enjoy one-stop talent services of Guangdong province and Zhuhai Provide support to obtain the Foreign Permanent Resident ID Card Provide supplementary commercial insurance Postdoctoral Fellow Postdoctoral Fellow at BNBU Beijing Normal-Hong Kong Baptist University (BNBU) had been approved to establish postdoctoral programmes, which are the first at Zhuhai. At present, the University has 2 postdoctoral programmes with established postdoctoral training management system. The programmes will strengthen the research of fundamental disciplines and develop talents concerned. On this basis, the programmes will focus on train a group of high-potential and comprehensive young scholars with research interests in cross-disciplines and cutting-edge topics. World-class resources will be brought into the build-up of postdoctoral programmes to push forward the postdoctoral fellows' role in the technology and innovation of China and Guangdong province. Requirements Excellent academic performance and research potential. Possess a good international vision Under the age of 35 A doctoral degree obtained within the recent three years or Ph.D. candidates who have passed the doctoral defense Work full-time in the University Discipline Mathematics, Statistics and their related interdisciplines Remuneration and Benefits 1. A highly competitive salary package: The University collaborates with relevant governmental departments, preponderant disciplines, supervisors, and university-local authority cooperation platforms to build a new postdoctoral support system for postdoctoral fellows. A comprehensive annual salary ranges from 300,000 CNY to 600,000 CNY (inclusive allowances from governments at all levels) Performance-based reward will be provided when obtained outstanding research output Social insurance, housing fund and supplementary commercial insurance shall be covered Accommodation and excellent living facilities are available Underage children of postdoctoral fellows are entitled to enter public schools available Create an excellent research community and the continuous efforts made to provide international collaborations Relocation fee of maximum 700,000 CNY can be applied for from the government if continue to work in Guangdong upon completion of the programme  2. Favorable research platform: Support the application of various scientific research projects/funding Participation in the team collaboration of provincial key laboratory Ensure adequate research funding and experiment conditions Encourage participation of international academic conferences  3. Clear career development: Recommendation to apply for talent programmes at all levels Enjoy the priority to the application of the University’s academic positions upon completion Supervisors’ List 1. Statistics: Prof . Jianxin PAN ( jianxinpan@bnbu.edu.cn ) Prof . Patrick CHAU ( patrickchau@bnbu.edu.cn ) Prof . Terry Huajun YE ( hjye@bnbu.edu.cn ) Prof . Ivan Yuhui DENG ( ivandeng@bnbu.edu.cn ) Prof . Adolf Koi Yu NG ( adolfng@bnbu.edu.cn ) Prof . Luchuan LIU ( andylcliu@bnbu.edu.cn ) Prof . Zhihua LI ( zhihuali@bnbu.edu.cn ) Prof . Weimin LIU ( weiminliu@bnbu.edu.cn ) Prof . Zhe XUANYUAN ( zhexuanyuan@bnbu.edu.cn ) 2. Mathematics: Prof . Tao TANG ( ttang@bnbu.edu.cn ) Prof . Yana DI ( yndi@bnbu.edu.cn ) Prof . Qiang ZHANG ( mazq@bnbu.edu.cn ) Prof . Weiwei SUN ( maweiw@bnbu.edu.cn ) Prof . Jianglun WU ( jianglunwu@bnbu.edu.cn ) Prof . Xiaowen SHAN ( xiaowenshan@bnbu.edu.cn )    Application Procedures Please contact and seek the supervisor's recommendations by filling in the "Postdoctoral Fellow Recommendation Form" (Download from: https://postdoc.bnbu.edu.cn/) Please fill in and submit the online "Postdoctoral Application Form" Please upload the completed "Postdoctoral Fellow Recommendation Form" to Appendix 4 of the online "Postdoctoral Application Form" Applications should invite two referees to send a recommendation letter to postdoc@bnbu.edu.cn, with the subject "Applicant's name + Postdoctoral Fellow Recommendation Letter". One of the referees should be the applicant's Ph.D. supervisor Links: https://postdoc.bnbu.edu.cn/ https://hro.bnbu.edu.cn/Job_Opportunities_/Job_Vacancy/Postdoctoral.htm Contact Information Faculty of Business and Management & School of General Education Ms. Sylvia HUANG Tel: 86-756-3620461 Email: sylviasxhuang@bnbu.edu.cn Faculty of Humanities and Social Sciences Ms. Raina JIA Tel: 86-756-3620013 Email: rainaynjia@bnbu.edu.cn Faculty of Science and Technology Ms. Mickey LI Tel: 86-756-3620680 Email: mickeylwli@bnbu.edu.cn Ms. Daisy FENG Tel: 86-756-3620068 Email: daisyfeng@bnbu.edu.cn School of Culture and Creativity & School of AI and Liberal Arts Ms. Miffy MA Tel: 86-756-3620516 Email: miffyxzma@bnbu.edu.cn Postdoctoral Fellow Programme Mr. Eric SHE Tel：86-756-3620142 Email：yongchangshe@bnbu.edu.cn Human Resources Office Tel:86-756-3620111 Email: recruit@bnbu.edu.cn Address: 2000 Jintong Road, Tangjiawan, Zhuhai, Guangdong Province, China More links: Talent 100: https://hro.bnbu.edu.cn/talent100.htm Job Vacancy: https://hro.bnbu.edu.cn/Job_Opportunities_/Job_Vacancy.htm

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

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.  The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements 1. Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently