North University of China

The Vietnamese-German University (VGU) is seeking a highly qualified full-time lecturer in Cloud Computing and Data Analytics. Candidates must hold a PhD in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will become part of an international network of universities and research institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in MCS and undergraduate courses in the Computer Science (CSE) bachelor program. The expected workload for the in-class lecture conduction is 08 academic hours per week, totaling 240 academic hours per year (1 academic hour equals to 45 minutes). Teaching should reflect current research methods and results, and comprises lectures on the following modules: Databases Computer Network – 1 Computer Network – 2 Distributed Systems Fundamental courses in related areas The named courses are subject to change upon realistic needs of the programs and joint agreement between the lecturer, relevant Academic Coordinators, and Dean/Vice Dean in charge of teaching. Courses may require conducting relevant laboratory activities and/or advising student projects. The holder of this job is also responsible for supervising bachelor's and master's theses and mentoring PhD students. Research Responsibilities As a faculty member of a research-oriented university, the successful candidate is expected to significantly contribute to the scientific profile of VGU through innovation. This includes and is not limited to comprehensive activities in basic research as well as applied research in the fields of cloud data analytics (ranging from scalable storage, integration, making sense of data to visualization), cloud computing, and edge computing. The ability to apply and generate externally funded research projects is highly desirable. Administrative responsibilities The successful candidate is expected to contribute to the development of the Computer Science program by participating in administrative, marketing and other public activities of the program in consultation with the Academic Coordinator of the study program and the German partner university, namely Frankfurt University of Applied Sciences. She or he is also expected to contribute actively to the academic self-administration of the Faculty of Engineering and university by being willing to stand for election to the Faculty Council, Academic Senate and/or other bodies. Qualification Candidates must hold a PhD in Computer Science or a closely related field, preferably from a well-known international university. A current title of Professor will be a plus, as experience and understanding of the German higher education system and methodology. Other requirements include: An outstanding academic record with a focus on data analytics and cloud computing or other areas closely related to it Proven expertise in cloud technologies and data analytics using cloud-based platforms and tools Strong track record of successful research activities and publications in international and peer-reviewed journals in the related area Proven teaching experience with strong self-motivation combined with a passion for teaching and research Experience in industry is of advantage Proven excellent English proficiency: Candidates who are from non-native English-speaking countries should include one of the following valid English proficiency certificates; IELTS 6.5, TOEFL 548(PBT), TOEFL 84 (iBT), TOEFL 212 (CBT), CEFR level B2 or Aptis level C1 at the time of application submission. Alternatively, candidates who do not hold a valid English proficiency certificate at the submission time need to be internally assessed at VGU to meet the criterion stated above.[1] Employment benefits The successful candidate will become part of a professional and interdisciplinary group of faculty and have access to state-of-the-art laboratories. VGU supports its lecturers with attractive start-up endowments for quality research projects. VGU also supports participation in national and international conferences and the publishing of research papers. VGU lecturers enjoy a rich cultural experience and a dynamic teaching environment through interactions with inquisitive and quality students. Further information, e.g. regarding the appointment procedure, the competitive salary and research activities can be downloaded here. Application                                                                                                To apply please send your application (with the following documents in one PDF max. size: 5 MB) to academicpositions@vgu.edu.vn with subject line "Cloud Computing and Data Analytics_[Your Name]" Your application should include: Form for basic information (Please download here, complete this form electronically and submit it together with your application) A cover letter stating your interest in joining VGU Curriculum Vitae (including list of publications) Scans of university degrees, university transcripts and other relevant certificates Scans of language certificates (if available, highly appreciated) References illustrating your professional and academic career, including contact details of references (if available, highly appreciated) Evaluation results for teaching (if available) All applications will be reviewed and evaluated by VGU's international Application Review Team. For further information, please contact: Program Academic Director at rschorr@fb2.fra-uas.de and/or Program Academic Coordinator at son.ll@vgu.edu.vn About us The Vietnamese-German University (VGU) is a Vietnamese state university. Founded in 2008, VGU is a joint venture based on a close cooperation between the Federal Republic of Germany and the Socialist Republic of Vietnam, with the goal of becoming the leading research university in Vietnam and the region. VGU´s strategy is to customize excellent German study programs in the fields of engineering, informatics and economics to meet the needs of Vietnamese higher education. Being a joint effort of Vietnamese and German institutions, VGU follows the successful German model and standards concerning the academic and administrative structures. The principle of non-discrimination against women: Female candidates will receive priority consideration for lecturer positions at VGU. In case of equally qualified male and female applicants, the women will be preferred.

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. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on AI-based and quantum-inspired methods for sustainable energy systems. The position is funded by the Research Council of Finland (RCF) and is part of the project “Smart, Economic, and Sustainable Energy Management of Green Maritime Industry via AI Approaches” (SiGMA). The position is hosted by the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering. The research will focus on the modelling, optimization, and operation of AI+Energy systems, integrated energy systems, green hydrogen, ship and port energy systems, and energy-intensive infrastructures such as data centres. The research group is led by Assistant Professor Zhengmao Li and focuses on multi-energy system optimization, AI-driven energy management, green hydrogen integration, and sustainable maritime energy systems. The position will also benefit from the group’s ongoing research activities and collaborations, and will provide opportunities to work with academic and industrial partners in Finland and internationally. Your role and goals In this position, your doctoral research will focus on developing AI-based and quantum-inspired methods for the modelling, optimization, and operation of sustainable energy systems. The main application area will be green maritime energy systems, especially ship and port energy systems with integrated electricity, heat, hydrogen, storage, and flexible loads. Your main tasks will include: Developing mathematical, data-driven, and AI-based models for sustainable multi-energy systems. Designing optimization and decision-making methods for system planning, scheduling, and operation. Exploring quantum-inspired optimization methods for selected energy-system problems. Applying the developed methods to case studies related to ship and port energy systems, green hydrogen, smart grids, or other energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed methods through practical case studies. Preparing scientific publications for international journals and conferences. Your network and team In this position, you will join the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering. Your main supervisor will be Assistant Professor Zhengmao Li. You will work closely with: Your supervisor and research group, including doctoral researchers, master’s students and research assistants working on energy-system modelling, optimization and AI-based methods. Academic collaborators at Aalto University and partner universities in Finland and abroad. Industrial and societal stakeholders, especially in areas related to energy systems, hydrogen, maritime operations, smart infrastructure and data-driven decision-making. The wider Aalto community, including researchers and students from electrical engineering, automation, computer science and energy-related fields. The working style of the group is collaborative and research-oriented. You will be encouraged to develop independent scientific ideas, discuss your work regularly with the team, contribute to joint publications and participate in project meetings, seminars and stakeholder activities. Your experience and ambitions Candidates should hold a Master’s degree in electrical engineering, energy systems, automation, or a related field. A strong background in energy-system modelling, mathematical optimization, machine learning, reinforcement learning, or data-driven decision-making is appreciated. Experience with programming and computational modelling is important for the position. Familiarity with Python, MATLAB, Julia, or similar tools is considered valuable. Previous experience in one or more of the following areas is an advantage: power and energy systems, integrated multi-energy systems, hydrogen systems, maritime or port energy systems, data centre energy management, smart grids, stochastic optimization, deep learning, safe reinforcement learning, or quantum-inspired optimization. A strong command of English, good communication skills, and the ability to work both independently and as part of a research team are essential. The candidate is expected to be motivated to publish high-quality scientific papers, participate in research projects, collaborate with academic and industrial partners, and develop into an independent researcher during the doctoral studies. The following skills are considered assets, but they can also be developed during the doctoral studies: Experience with energy-system simulation or optimization tools. Experience with machine learning, reinforcement learning, or other AI-based methods. Knowledge of power systems, hydrogen systems, or multi-energy system operation. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills in Python, MATLAB, Julia, or similar languages. Experience in writing scientific papers or participating in research projects. What we offer We offer a fully funded doctoral researcher position in a timely and growing research area at the intersection of artificial intelligence, quantum-inspired methods, and sustainable energy systems. You will have the opportunity to work on research questions that are both scientifically challenging and closely connected to the clean energy transition, including integrated energy systems, green hydrogen, ship and port energy systems, smart grids, and energy-intensive infrastructures such as data centres. Aalto University offers an international, multidisciplinary, and supportive research environment. Our work is guided by responsibility, courage, and collaboration, and we value openness, equality, inclusion, and well-being. You will receive supervision, feedback, and support from your supervisor and research group, while also being encouraged to develop independence as a researcher. The position also offers good opportunities for professional development, including doctoral courses, research training, teaching experience, conference participation, international collaboration, and skill development in scientific writing, project work, and academic communication. The primary workplace is the Otaniemi campus in Espoo, Finland, which offers a vibrant academic environment, modern research facilities, good public transport connections, and access to the wider innovation ecosystem around Aalto University. Join us! To apply, please share your CV and motivation letter with us through our recruitment site ("Apply now!”) latest at 23.59 pm (EET) 30th August 2026. We will go through applications, and we may invite suitable candidates to interview already during the application period. The position will be filled as soon as a suitable candidate has been found. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. For more information about the role, please contact Zhengmao Li +358 50 441 3955, or zhengmao.li@aalto.fi. For questions related to the application process, please contact HR advisor johanna.haapalainen@aalto.fi. We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback. Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto and check out our virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again as the happiest country in the world: World Happiness Report 2025. For more information about living in Finland: Aalto Careers for International Staff. 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.

Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Fixed term contract Fixed Term Period: For 24 months Salary: Full time starting salary is normally in the range of £37,897 per annum Apply by: 11/08/2026 Role Description We welcome applications from a Research Fellow with a strong passion for, and experience in, biosensing, microfluidics and microbiology. The successful candidate will join our Advanced Sensors team and contribute to the 5-year Leverhulme Research Leadership Award project, Sensing Wastewater for Real-Time Public Health. About the Role The postholder’s primary responsibility is to conduct cutting-edge research on a new class of biochemical sensor development for wastewater, especially on the single-cell and single molecule detection, utilising state-of-the-art facilities in the Advanced Sensors Laboratory at Cranfield University. Cranfield University has a proud reputation for its research on the science, engineering and management of water, and we have been driving innovation for over 40 years. You will contribute to the delivery of Cranfield University’s research portfolio in the Advanced Sensors Laboratory for Water-Environment-Health, led by Professor Zhugen Yang. The group’s pioneering work on wastewater sensing, especially on origami-paper microfluidics sensors, has garnered significant national and international recognition, including features in Science and prominent media outlets such as BBC. The origami-paper device is currently featured at the London Science Museum. The project also involved partnership from world-leading institutions, such as Harvard University on droplets technology, and industrial sectors. About You You will hold a doctoral degree (or close to completion) in biosensing, microfluidics, environmental science, microbiology, or a related discipline. You will have demonstrable experience with experimental skillsets, including sensor development, wastewater surveillance, or reverse inference modelling for source tracking. You will bring laboratory expertise in designing experiments, handling advanced instruments, and troubleshooting. Collaboration and mentoring within interdisciplinary teams are also desirable. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. The group has received national and international acclaim, including coverage in Science, BBC News and The Washington Post for its research on wastewater monitoring and origami-based paper sensors. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. Working Arrangements Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners. How to apply For an informal discussion about this opportunity, please contact Professor Zhugen Yang, Professor of Biosensing and Environmental Health, on (T): +44 (0) 1234 758310 or (E): zhugen.yang@cranfield.ac.uk Please do not hesitate to contact us for further details on E: peoplerecruitment@cranfield.ac.uk. Please quote reference number 5182. Closing date for receipt of applications: 11 August 2026 Please note that we reserve the right to close this advert prior to the stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible.