Karpaga Vinayaga College of Engineering and Technology
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Associate / Assistant Professor / Lecturer in Accounting
Wenzhou Business College
China, Wenzhou Longwan International Apt
Wenzhou Business College
China, Wenzhou Longwan International Apt
Experiencing phenomenal growth, Wenzhou Business College is a top ranked private university approved by the Ministry of Education in China. With over 21,000 students and 1,200 faculty members, the university invites applications for 10-year full-time tenure track positions at all ranks in Accounting to begin in Fall 2026. The successful candidate will be able to teach intermediate or advanced accounting courses, as well as participate in the full range of faculty responsibilities, including scholarly research and service to the University. Applicants should possess a PhD or master degree in accounting, or anticipate completion by May 2026. Applicants with related terminal degrees and proven research records in accounting are also strongly encouraged to apply. The academic rank and the competitive compensation and benefits package – including free housing, health insurance, schooling, retirement contribution, home leave allowance and more – will be commensurate with qualifications and relevant experience. High research candidates with established publication record may be considered for a special research track, generous research funding, up to RMB 900,000 (about USD $140K) in tax-FREE salary (pending nationality), and additional allowance besides standard benefit package, e.g. extra RMB one million in housing subsidy. To receive full consideration, candidates need to submit a cover letter and CV by email to: c.j@wzbc.edu.cn A city of nearly 10 million people with rich culture and culinary offerings, Wenzhou is only one hour by plane and just over three hours by high-speed train from Shanghai and Hong Kong. Wenzhou Business College sits in the bustling heart of the University City, the academic epicenter of the entire region.
Salary
Competitive
Posted
12 Apr 2026
Associate / Assistant Professor in ESL/EAP/TESOL
Wenzhou Business College
China, Wenzhou Longwan International Apt
Wenzhou Business College
China, Wenzhou Longwan International Apt
Experiencing phenomenal growth, Wenzhou Business College is a top ranked private university approved by the Ministry of Education in China. With over 21, 000 students and 1,200 faculty members, the university invites applications for 10-year full-time tenure track positions at all ranks in English with a specialty in ESL/TESOL to begin in in Fall 2026. Applicants should possess a PhD or master degree in a related discipline, with strong skills in second language acquisition, cross-cultural communication, language testing and assessment. Preference will be given to candidates with a proven track record of leading drama clubs. The academic rank and the competitive compensation and benefits package – including free housing, health insurance, schooling, retirement contribution, home leave allowance and more – will be commensurate with qualifications and relevant experience. High research candidates with established publication record may be considered for a special research track, generous research funding, up to RMB 900,000 (about USD $140K) in tax-FREE salary (pending nationality), and additional allowance besides standard benefit package, e.g. extra RMB one million in housing subsidy. To receive full consideration, candidates need to submit a cover letter and CV by email to: c.j@wzbc.edu.cn A city of nearly 10 million people with rich culture and culinary offerings, Wenzhou is only one hour by plane and just over three hours by high-speed train from Shanghai and Hong Kong. Wenzhou Business College sits in the bustling heart of the University City, the academic epicenter of the entire region.
Salary
Competitive
Posted
12 Apr 2026
Assistant / Associate Professor, Water Quality Management
Aalto University
Finland
Aalto University
Finland
Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 16 000 students and 5 200 employees, including 446 professors. Our campus is in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Built Environment looks for practical solutions for a society whose functioning requires sustainable asset management, efficient water and waste management, sufficient water resources, reliable and safe transportationas well as valid geographic data. Through intelligent spatial planning, we create built environments that effectively meet the requirements of habitation, business, and mobility. We invite applications for the position of Assistant or Associate Professor in Water quality management (tenure track) We are seeking a motivated and enthusiastic person for a full-time tenure track position in the field of freshwater quality management in natural and built environments, within the water and environmental engineering discipline. This Assistant or Associate Professor position will be part of the Aalto University tenure track system: Tenure track career path | Aalto University. The position is open in the Aalto University’s Water and Environmental Engineering Research Group under the Department of Built Environment in the Aalto School of Engineering. The research group seeks to find solutions towards a more sustainable future and to tackle environmental degradation and resource scarcity from local to global level. The group's research and teaching focus on water resources management, environmental hydraulics, water and development, water governance, and water and wastewater engineering. We have state-of-the-art research infrastructure, including high-grade water quality and environmental hydraulics laboratories staffed by professionals. The position This professorship position on water quality management is situated in the field of water engineering, with focus on engineering applications and environmental planning particularly in the northern conditions. The position responds to the need to strengthen our research, education, and societal impact on the management of freshwater quality as well as related risks and solutions. Freshwater quality and its management in natural and built environments links with water security, water services and water infrastructures and is of key importance in sustainable functioning of societies. Climate change, urbanization, land use changes, and environmental pollution related risks are challenges threatening clean water, ecosystems, food production, and human wellbeing. Water quality management provides solutions to cope with a broad range of drivers and triggers affecting critical functions of society, including natural hazards, floods, conflict-related threats, aging infrastructures, emerging pollutants, decreasing carrying capacity of ecosystems, and accumulation of pollutant, nutrient and sediment loads. Technological breakthroughs in observation systems, data science, modelling and planning processes provide improved information to support water quality management and aid in the transformation toward more sustainable use of water resources. Relevant research methodologies on water quality management may cover for example risk analyses, data science, and simulation modelling as well as new measurement technologies from remote sensing to sensor data. The engineering approach solves wicked problems and supports planning through combining data and computational tools for impacts assessment and risk management, contributing to sustainable freshwater governance. Your experience and ambitions A doctoral degree in a relevant field such as water resources management, civil engineering, environmental engineering, physical geography is a prerequisite for the position. Well-demonstrated collaboration skills and an excellent command of English are essential. The evaluation of applicants will be based on their current and potential excellence in scientific research, teaching, and societal impact (potential is emphasised more in Assistant Professor position). Additionally, the applicant's connections and engagement with national, European, and global stakeholders and the international science community will be considered. A successful candidate should have a strong background in research related to freshwater quality and its management, preferably with close linkages to hydrology, planning and engineering. This expertise should include one or more of the following areas: advanced water quality monitoring techniques (e.g., remote sensing and sensor technologies); computational modelling and simulation of water quality processes; planning and impact assessment processes; policy integration and governance; and/or solutions for water quality changes in response to environmental and anthropogenic drivers. Our Water and Environmental Engineering Research Group includes over 80 experts with varying backgrounds, and we work together in our Water Building at Aalto University’s campus. We therefore value openness for collaboration as well as multi- and interdisciplinary research skills. Teaching experience, pedagogical studies, student supervision, and cooperation with industry, public sector and civil society are considered as merits. Similarly, experience in acquiring and applying for academic competitive funding as well as scientific awards and recognitions are considered important advantages. Expectations The successful candidate is expected to: Carry out high-quality research in one or more areas within the broader theme of freshwater quality management in water and environmental engineering settings. Initiate research projects on water quality management, with relevant themes such as impacts of nutrient and pollutant loads to surface and ground waters, micropollutants in storm waters and freshwaters, and anthropogenic change induced water quality changes and influence on freshwater resources. Lead their own research team, educate doctoral students, and produce novel, high-quality research published in peer-reviewed scientific journals. Develop and contribute to teaching at bachelor, master's and doctoral levels particularly in the following areas: water quality management in natural and built environments, water quality with relevant chemical, biological, ecological, and/or hydrological processes and risks, water quality engineering, ecohydrology and watershed management, and advanced water quality monitoring and modelling techniques. Contribute to the progress of the school, department and research group (i.e., faculty), including enhancing our scientific and societal impact as well as international visibility. Actively collaborate with different stakeholders and colleagues both at Aalto University and across the global scientific community. What we offer Aalto University offers the opportunity to work within a well-resourced learning community, where students are highly motivated and researchers work in a multi-and interdisciplinary setting across Aalto’s six Schools. According to our strategy, Aalto University shapes a sustainable future through research-based knowledge, creativity, and an entrepreneurial mindset. Our values are responsibility, courage, and collaboration (Our purpose, values and way of working | Aalto University). Salary will be defined according to Aalto University's payroll system, considering the applicant's experience and qualifications. In addition to the salary, Aalto University provides its employees with excellent occupational healthcare services and retirement benefits. Also, a starting package can be negotiated with the Dean. Finland offers a safe and healthy environment for living, with excellent state-subsidized services including affordable day care, healthcare, and free schools that are ranked among the best in the world. Finland has been ranked as the happiest country in the world for seven consecutive years. Further, we are one of the world's most reliable and stable nations, with a high level of safety. With significant investments in R&D, a strong innovation culture, open data, and advanced digitalization, Finland is a nation of innovation and entrepreneurship. The Nordic values of equality and cooperation are deeply rooted in our society. Gender equality, flexibility, and low hierarchy form the core of our Nordic working environment. For more information about living and working in Finland, please visit: For international staff | Aalto University. Ready to apply? If you want to join our community, please submit your application (in English) through our recruitment system by Sunday May 24th, 2026 (before midnight Finnish time, UTC+3). The application material for the position must consist of the following documents: Cover Letter – including a summary of merits, most important achievements, motivation for this position, as well as your own justification for the level of the position (assistant or associate level) (max 2 pages). Curriculum Vitae (CV) – following the structure given by Finnish Advisory Board on Research Integrity: Template for researcher's curriculum vitae | Finnish National Board on Research Integrity TENK. CV should also include: i) applicant’s contact information, ii) a brief statement of the applicant’s role in the three most significant publications attached to the proposal, and iii) names and contact information of 3 referees. Also include as an Annex your full List of Publications, with up to then most important publications marked. Research Portfolio – including short summary of the ongoing research as well as a plan for future research in the position (3–5 pages) Teaching Portfolio – prepared according to Aalto University guidelines (Teaching-competence-assessment_Guidelines-for-a-candidate_2024_Aalto-University.pdf) Three most significant publications by the applicant as one combined pdf-file The general instructions, including guidelines for compiling the application material, are given online: Interested in joining our tenure track? | Aalto University. The use of generative artificial intelligence (AI) is strongly discouraged when preparing the application documents, and the application documents may be checked against the use of AI. A link to the recruitment system can be found at the end of this job advertisement via the text “Apply now”. If you are already an employee at Aalto, please apply using your existing Workday user account via our internal system Workday -> Find Jobs. Aalto University will use external reviewers to support the evaluation of applicants during the recruitment process. We may also use a leadership assessment for shortlisted candidates. Based on the application materials and external evaluations, the Departmental Committee will select the most suitable applicants for a site visit to Aalto University to deliver teaching demonstration and research presentation, and to attend interviews. The one-day site visits are tentatively scheduled for Monday 24.8.2026 and Tuesday 25.8.2026. For more Information For additional information, please contact Associate Professor Marko Keskinen, marko.keskinen@aalto.fi. For questions related to the recruitment process, please contact HR Partner Sanni Mero, sanni.mero@aalto.fi. Aalto University reserves the right for justified reasons to leave the position open and to extend the application period. Tenure track in Aalto University The tenure track is open to talented individuals who have excellent potential for a scientific career. Individuals placed on the Aalto University professorial tenure track have the possibility to advance in their career through regular performance assessments, which take into account their merits in all areas of their scope of duty. Launched only in 2010, the tenure track has attracted a wide range of international applicants, giving Aalto University the possibility of recruiting top experts and young research talent to join the Aalto University community. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.
Salary
Competitive
Posted
13 Apr 2026
Research Fellow / Engineer (Pyrolysis Reactor Systems) - KW1
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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. This position offers an exciting opportunity to work on applied research projects in partnership with a local SME, contributing to innovative solutions in food and chemical engineering. This is a fixed term contract position. Job Responsibilities Support research and development activities in waste recycling, pyrolysis reactor, in the area of chemical engineering, thermal systems, and mechanical engineering. Conduct design and improvement of the existing pyrolysis system, Perform experiments, data analysis, and technical reporting. Collaborate with academic staff, industry partners, and project stakeholders to achieve project objectives. Ensure compliance with safety and quality standards in all research activities. T'o communicate with any relevant stakeholders to ensure project can be completed. Any other ad-hoc duties assigned. Expected qualities: Serve as the process lead engineer in both design, engineering and testing of Pyrolysis Reactor Systems Involve in developing the process control narrative To generate project specifications, design philosophy, PFDs, P&IDs, calculations, operation manuals to comply with clients’ requirement To carry out process simulations and develop heat and material balances To carry out hydraulic design for pumps, compressors, blowers and develop respective process datasheets To check design outputs, datasheets and drawings to ensure accuracy and completeness to design requirements and concepts Involve in sizing the process instrument, pump and control philosophy Experience in downstream gas cleaning processes with real experiences operating a plant Knowledge in tar/PAH removal and separation Prepare and deliver various engineering related presentations, both internally and externally Support the R&D Team Knowledge in skid module base and PLCs programming will be highly preferred Possess good Solid-works skillset and/or ASPEN HYSYS/3D simulations expertise Sound knowledge in applying AI into system applications Job Requirements Bachelor’s degree in Engineering (Chemical, Thermal, Mechanical, Environmental or related disciplines). Work experience in similar industries. Prior experience in waste recycling, pyrolysis, production of activated carbon, heat transfer, process design, process control would be an advantage. Key Competencies Exhibit strong leadership skills Self-motivated with the ability to multitask and thrive in a timeline driven environment Excellent interpersonal skills, attention to details and result driven Good presentation and communication skills (verbal and written)
Salary
Competitive
Posted
13 Apr 2026
Research Engineer (Computer Vision - Wildlife Species) - SH1
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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 Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job 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: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate the models into a working system prototype. Perform data annotation. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. Prepare project documentation, technical reports, and academic publications. Collaborate with industry partners and contribute to technology transfer efforts. Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed. Contribute to system integration by applying familiarity with backend/frontend workflows, ensuring CV models can be accessed through user-facing applications. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. 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. Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong computer vision expertise and proven success in 1-2 substantial CV projects are welcome to apply regardless of domain-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js) Awareness of RESTful APIs and microservices architecture. General knowledge of database systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices
Salary
Competitive
Posted
10 Apr 2026