Rafsanjan University of Medical Sciences

Ref.: 536292 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Executive / Technical / Support, Teaching Staff Teaching Assistant in the Faculty of Social Sciences (Ref.: 536292) (to commence in July 2026 or as soon as possible thereafter, on a one-year temporary term, or a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme totaling up to 10% of basic salary, and with the possibility of renewal subject to funding availability and satisfactory performance.) Applicants should possess a Bachelor’s degree in Arts, Social Sciences, Science, Computer Science or a related discipline, with at least one year of experience in teaching and research. They should have excellent analytical, problem-solving and communication skills, as well as an excellent command of written and spoken English. Preference will be given to those with experience of teaching and research in computational social science, social data analytics, population studies or related social sciences disciplines, especially good command of Python and R language for various social sciences/humanities applications. The ideal candidate will be able to assist in multiple courses such as machine learning, programming, big data analytics, statistics, social network analysis, natural language processing, and population analysis. The appointee will work on the Master of Social Sciences in the fields of Social Data Analytics, and Population and Policy Analysis programmes offered by the Faculty of Social Sciences. He/She will assist course teachers in course preparation, administration and other academic activities, grade and provide feedback on assignments and tests, invigilate examinations, provide consultative support to students outside class, and perform other duties as assigned by the Programme Directors or their delegates. 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 application for the above post. Applicants should apply online and upload an up-to-date CV, a covering letter and copies of their university transcripts/ degree certificates. Review of applications will start as soon as possible and continue until June 5, 2026, or until the post is filled, whichever is earlier.

Ref.: 536223 Work type: Full-time Department: HKU Institute for Climate and Carbon Neutrality (47100) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the HKU Institute for Climate and Carbon Neutrality (Ref.: 536223)  We now invite applications for the captioned post. Duties and Responsibilities The appointee will work closely with the Supervisor and the core research team. The main duties include: Leading and contributing to a targeted research project, topics including climate policy, economics and governance. Designing, developing, and continually refining robust research instruments and methodologies. Coordinating comprehensive data collection processes and executing rigorous data analysis. Supporting the planning, organization, and execution of academic and public dissemination events, such as seminars, workshops, and conferences. Assisting in drafting high-quality academic papers, policy briefs, and project progress reports. Performing other research and administrative duties as assigned to support the Institute's objectives. Requirements A Ph.D. degree in Environmental Economics, Public Policy, Geographical Sciences or a highly related discipline. A minimum of one year of relevant post-doctoral or professional working experience in a related field. An excellent command of both written and spoken English. Strong interpersonal, communication, organizational, and problem-solving skills. A demonstrated ability to work efficiently under pressure, manage multiple priorities, and meet tight project deadlines. A strong capacity to work both independently and collaboratively within a diverse academic and administrative team. A highly self-motivated, proactive, and responsible work ethic. Advantageous: Familiarity with the local funding system, alongside prior experience collaborating with schools or managing educational/environmental research projects. Preferred: Proficiency in analyzing complex quantitative research data using advanced statistical methods and software packages. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until [31 August, 2026], or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

1 x full time, fixed term (2 years) position available in the School of Science within STEM College Salary Academic Level A ($80,755 - $109,536) + 17% Superannuation Based at the City, but may be required to work and/or be based at other campuses of the University About the Role The Research Assistant will work on photonics and integrated photonic systems, including on-chip optical technologies and light-matter interaction at micro- and nanoscale levels. The role is part of the ARC E2Crop Hub and the Centre for Atomaterials and Nanomanufacturing at RMIT University. These programs focus on developing technologies for energy-efficient systems, renewable energy integration, advanced materials, sensing, and sustainable production. The position involves supporting research that spans both fundamental studies and applied outcomes, with applications in energy systems, environmental monitoring, advanced manufacturing, and controlled environment agriculture. About You Proficiency in programming languages, including Python, C++, or Java, focusing on algorithms and data structures applied explicitly in computer vision projects Knowledge of machine learning and deep learning frameworks, including TensorFlow or PyTorch Knowledge of neural networks - especially convolutional neural networks (CNNs) Understanding of image processing techniques - including filtering, edge detection, and image segmentation- for manipulating images Familiarity with computer vision libraries, like OpenCV or Dlib, for developing and implementing vision-based models Familiar with 3D refractive imaging technique with demonstratable track record. Mathematical skills in linear algebra, calculus, and statistics for algorithm development and data analysis Evidence of research output including high quality publications, conference contributions and/or technical reports in the field. Ability to generate alternative funding projects through effective liaison with industry and government. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of communication skills. Qualifications Mandatory: Ph.D. degree in Optical engineering, Applied Physics, or Computer Science Problem-solving abilities for determining innovative solutions to the complex problems common to computer vision engineering - such as dealing with messy background or addressing issues with object detection. Attention to detail for ensuring precision in coding and model training - and enhancing the accuracy and reliability of computer vision applications. Collaborative skills for working effectively with data scientists, software developers, and project managers. Adaptability, including a willingness to stay updated with the rapidly evolving field of computer vision and learn new techniques and technologies as they emerge. Communication skills for explaining technical project requirements, progress, and outcomes to non-technical stakeholders Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. For more information on this role, please connect with Dr. Mingdeng Luo, ARC E2Crop Hub Manager at mingdeng.luo2@rmit.edu.au Position Description - Research Assistant, Image Processing Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.Applications close on Sunday, 14th of June. About RMIT UniversityRMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.https://www.rmit.edu.au/abouthttps://www.universitiesaustralia.edu.au/university/rmit-universityWhy work at RMIT UniversityOur people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.https://www.rmit.edu.au/about/facts-figures/reputation-and-rankingsBring Your Whole Self to WorkWe are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careersRMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.We are a Circle Back Initiative Employer - we commit to respond to every applicant.