Seattle University

The School of Ocean and Earth Science at the University of Southampton is seeking to recruit a Research Fellow in Phanerozoic Ocean Biogeochemistry and Earth System Evolution. The successful applicant will work on the development and application of the cGENIE Earth system model for the NERC Pushing the Frontiers project “Determining extinction correlates on geological timescales”, under the supervision of institutional lead Dr. Richard Stockey and in collaboration with team members at the University of Oxford (Project Lead Prof. Erin Saupe) and the University of Leeds (Project Co-Lead Prof. Ben Mills). The post holder will specifically work to generate a series of reconstructive models of 3D ocean biogeochemistry through the Phanerozoic (last ~540 million years). A key focus of this role is to explore uncertainty in three-dimensional ocean biogeochemistry over this time interval and its implications for geochemical proxy records and marine ecosystems. This is a relatively short-term, specialist Earth system modelling position (15-month duration). The post holder is therefore expected to have prior experience in intermediate complexity Earth system modelling and experience integrating key components of Earth system evolution on these timescales, or a strong track record in developing and deploying new skills in computational Earth Science research. The successful candidate will either hold, or be nearing completion of, a relevant PhD/DPhil and will have appropriate research experience alongside strong subject-specific expertise. They should be capable of working independently within established research programmes, managing their own research activities and contributing to academic publications. Strong communication skills are essential, including the ability to present research ideas and findings clearly, as well as representing the research group effectively in meetings and collaborative discussions.

(Ref. No.: IAIBS/FAAP/DS/07/2026) The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 267 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM.  The Institute of Artificial Intelligence and Brain Sciences (IAIBS), currently operating as the Institute of Collaborative Innovation and scheduled for formal establishment in August 2026, invites applications for the position of Full/Associate/Assistant Professor in Data Science. IAIBS aims to become an internationally leading interdisciplinary research institute by advancing deep integration and innovation of artificial intelligence and brain sciences. It aspires to establish itself as a key hub for AI and brain science in the Greater Bay Area and globally. It is expected that high-profile research work will be carried out through these platforms to produce a number of key scientific outputs and discoveries with world influence. Qualifications Prospective applicants should have a PhD degree in Artificial Intelligence, Computer Science, Data Science, or related disciplines, preferably with postdoctoral research experience from globally renowned universities, and a strong record of internationally recognized publications. The following three areas are the main priority categories but are not exhaustive; outstanding candidates in closely related areas of interdisciplinary AI and data science are also encouraged to apply: (1) AI for Science, including AI/ML for scientific discovery, foundation models for science, scientific machine learning, and AI applications in materials, chemistry, biology, healthcare, simulation, or hypothesis generation; (2) AI for Society, including AI and data science for smart cities, public health, education, sustainability, social good, human-centered AI, decision support, computational social science, or AI agents for public services; and (3) AI Governance, including responsible and trustworthy AI, AI safety, fairness, accountability, transparency, privacy, security, regulatory compliance, auditing, risk assessment, AI ethics, and data governance. Priority will be given to candidates with strong research experience and demonstrable societal, scientific, or institutional impact. The selected candidate is expected to assume duty in 2026. Remuneration A taxable annual remuneration starting from MOP1,250,200 (approximately USD154,350) for the position of Full Professor, MOP1,052,800 (approximately USD129,980) for the position of Associate Professor and MOP855,400 (approximately USD105,600) for the position of Assistant Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application. Human Resources Section, Office of Administration University of Macau, Av. da Universidade, Taipa, Macau, China Website: https://career.admo.um.edu.mo/; Email: vacancy@um.edu.mo Tel: +853 8822 8578; Fax: +853 8822 2412 The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**

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 120 nationalities, 14 000 students, 400 professors and close to 5000 other faculty and staff working on our dynamic campus 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 School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future applications as we are? We are seeking a postdoctoral researcher to join the Micro and Quantum Systems (MQS) research group in the Department of Electronics and Nanoengineering at Aalto University. MQS currently comprises more than 18 members and is expanding. We are advancing foundational topics in quantum computing and their practical applications. In this position, you will work at the intersection of quantum computing, computational biology, genomics, and materials science. You will have the opportunity to delve deeply into quantum computing and contribute to high-quality research with real-world impact. Join us in shaping the future! Your role and goals  Your primary task as a postdoctoral researcher is to conduct research in quantum algorithms and quantum information. You are expected to take an active role in advancing the MQS group’s research projects. Our recent work has focused on the theory and applications of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and systematically benchmarked against fully classical baselines. In parallel, medium‑ to long‑term quantum algorithms will be explored to assess quantum readiness and to establish innovative methodologies relevant to each application field. The exact research topics can be tailored to your interests within the scope of our current projects. Your goal is to produce world‑class research results, in collaboration with other group members in the lively environment of the MQS group, and to publish them in high‑impact journals. In addition to research, you will also be expected to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist, 2 postdocs and 5 PhD students, and several undergraduate research collaborators. The group is led by Professor Ilkka Tittonen. Your experience and ambitions Applicants are expected to hold a PhD and excellent study records in theoretical physics, mathematics, computer science, or other relevant field. have sufficient background in quantum computing to conduct research on the topic. have a demonstrated ability for independent and collaborative research on advanced topics. have a working proficiency in English. (Finnish language is not required.) The research topics can be adjusted according to the background of the applicant. Familiarity with the areas outlined in this call is a clear advantage. Teaching experience will also be a valuable asset. What we offer We offer the opportunity to conduct research within a vibrant international community. Finland hosts many active quantum computing groups connected through the national consortium InstituteQ, which coordinates a wide range of quantum‑related activities. We have access to real quantum hardware, including VTT’s Q50 machine and Aalto’s new Q20 system, located in the same building as our offices. In addition, we have access to other commercially available quantum platforms. Aalto University also offers ample opportunities for multidisciplinary research and teaching collaboration. We offer you interesting work in an inspiring work environment. You will work in a community of students, researchers and other professionals, where we promote socially significant goals in the fields of science and education. We will familiarize you with your tasks and you will become part of a friendly and competent team that will offer you support in your work tasks also in the future. Our vast array of professional development opportunities at Aalto University means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line. The contract is fixed-term and will be made for two (2) years. The salary for postdoctoral researcher is approximately 4200€/Month. Join us! To apply, please share your application with us through our recruitment site ("Apply now!”) at the latest by August 31st, 2026. Applications submitted by email will not be accepted. We encourage you to apply early, as we will go through applications, and we may invite suitable candidates to interview already during the application period. All materials must be submitted in PDF format, with up to five (5) files, each no larger than 5 MB. The application materials must include: CV (including a list of publications) Motivation letter Recommendation letters (max. 2, if available) 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). For more information regarding the open position, please contact professor Ilkka Tittonen, ilkka.tittonen@aalto.fi and university lecturer Matti Raasakka, matti.raasakka@aalto.fi. In any question regarding the recruitment process, please contact HR Advisor, hr-elec@aalto.fi. Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto Check out our new 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 just listed again as the happiest country in the world. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/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.