University of Akron
About the University of Akron
Basic information and contact details for the University of Akron
The University of Akron is one of the largest universities in Ohio. It was established in 1872 by members of the Universalist Church. Its main benefactor was Akron businessman John R Buchtel; the university was originally named after him. In 1907, Akron became non-denominational and in 1967 it became a state university, taking on its current name.
More than 300 degrees are on offer encompassing undergraduate, graduate, doctoral and law courses. The university aims to provide interdisciplinary studies through learning experiences such as internships, research projects and study abroad.
The university’s academic divisions are the Buchtel College of Arts and Sciences, the College of Business Administration, the LeBron James Family Foundation College of Education, the College of Engineering, the College of Health Professions, the School of Law, the College of Polymer Science and Polymer Engineering, the Dr Gary B and Pamela S Williams Honors College, the Graduate School, University College and the College of Applied Science and Technology.
The university is best known for its polymer research. Students can study this at the university’s College of Polymer Science and Polymer Engineering. In 2010 Akron opened the National Polymer Innovation Center, which features 10 state of the art laboratories. Several major rubber companies have partnerships with the university.
Students have lots of options for recreation, with over 300 different organisations on campus. They include 20 fraternities and sororities and interest clubs ranging from 3D printing to ballroom dance.
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Student Success Coach
University of Surrey
United Kingdom, Guildford
University of Surrey
United Kingdom, Guildford
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role Are you passionate about supporting students to reach their full potential? Do you thrive in a role where every day brings new conversations, new challenges, and new opportunities to make a difference? If so, you could be a Student Success Coach at the University of Surrey. We’re looking for someone who is proactive, empathetic, and energised by helping students navigate university life — academically, personally, and professionally. You’ll be part of a supportive team committed to improving student belonging, engagement, and outcomes. The Student Success Coach plays a central role in fostering student engagement, wellbeing, and academic progression across the student lifecycle. Working closely with academic colleagues and specialist support services, the post holder will provide proactive, personalised, and data‑informed support to help students thrive, overcome challenges, and successfully progress through their programme. The role combines 1:1 coaching, group support, early‑intervention outreach, and ongoing case management to strengthen student belonging, attainment, and retention. About you We’re looking for someone who: Builds rapport quickly and communicates with warmth and clarity. Is confident working with sensitive or complex situations. Is comfortable engaging 1:1, with classroom size groups and full lecture theatres. Can interpret data and use it to inform decisions. Is organised, adaptable, and able to manage a varied caseload. Understands the challenges students face and is motivated to help them succeed. Experience in coaching, mentoring, student support, or advisory roles is beneficial — but above all, we’re looking for someone who genuinely cares about student success. How to apply Please include a cover letter detailing your interest and relevant skills/experience related to the role, along with your CV and application form as part of the application process. Please note, when uploading your application documents, select the document type you would like to attach and then upload. Repeat this for your CV and cover letter. If you would like to discuss the position informally before applying, please contact Hollie Baker, Associate Director Student Success, via email at h.baker@surrey.ac.uk Interviews will be held on Tuesday 30th June. An Enhanced DBS check s required for this position. Further details Job Description
Salary
£32,080 to £36,636 per annum
Posted
1 Jun 2026
Women in Engineering, (Tenure-Track) Academic Positions for Women, Faculty of Engineering
The University of Sydney
Australia, Darlington
The University of Sydney
Australia, Darlington
Join a growing Faculty and be part of a University that places amongst the world’s best teaching and research institutions Located in the heart of Sydney’s bustling inner west quarter, close to beaches, parks, public transport and shopping districts Seeking outstanding women academics to provide leadership and help create a world-class, internationally recognised Faculty for research and education excellence These positions are exempt under section 126 of the Anti-Discrimination Act 1977, to conduct targeted recruitment programs for women. About the opportunity The Faculty of Engineering at the University of Sydney (Sydney, Australia) invites applications for academic positions at Lecturer, Senior Lecturer, and Associate Professor (Level B-D) in the following Schools: School of Aerospace, Mechanical and Mechatronic Engineering School of Computer Science School of Electrical and Computer Engineering All positions are full-time continuing (tenure-track), teaching and research roles based in Sydney, however flexible working arrangements may be negotiated. Successful applicants will join a group of enthusiastic, highly research-active, and collegiate academics who deliver a world-class education to our undergraduate and postgraduate students. Successful applicants will have an excellent research record, be able to teach in a range of courses, and will complement the core areas of strength in one or more of the schools listed above and/or push the frontiers to new research areas. We are particularly interested in applicants that enhance/expand the range of research in the Faculty and build connections between our research strength areas. Please note while all applications are welcome, individual Schools may prioritise candidates aligned with specific focus areas and, with the candidate’s permission, redirect applications to other Schools where there is stronger alignment. As part of its Strategic Plan 2025-2028, the Faculty of Engineering is committed to enhancing the diversity of its academic staff cohort and fostering a supportive, inclusive and collegial work environment. About you The University values trust, accountability and excellence. As such, we see the importance of recruiting talent aligned to these values. You will develop an independent research program and engage in collaborations within and outside the University, including with industry partners. You will contribute to curriculum development and delivery at both undergraduate and postgraduate levels and contribute to leadership of the School/Faculty. The Faculty of Engineering is seeking Academics at Lecturer, Senior Lecturer, and Associate Professor (Level B-D) who can demonstrate: a PhD in a relevant field. Applicants who have submitted their PhD for examination or will do so in the immediate future can be considered a strong track record in research appropriate to the discipline and level of appointment (relative to opportunity and taking career disruptions into account) ability to teach, engage, and support the learning of students using innovative and modern pedagogies outstanding communication skills and collegiality high-level problem-solving skills with the ability to address complex issues as they arise. How to apply Candidates should submit a CV, a research statement (up to 2 pages), and a teaching statement (up to 2 pages). We recognise that individual circumstances can impact career opportunity and trajectory and encourage the inclusion of a statement outlining any career disruptions or relative to opportunity information in the candidate CV. Please include the names and email addresses of three referees. Current employees of the University or a contingent worker with access to Workday, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. Term and Remuneration The level of appointment will be commensurate with qualifications and experience. Successful applicants should expect an internationally competitive salary, a generous start-up package and a first-class research, learning and teaching environment. Pre-employment checks Your employment is conditional upon the completion of all role-required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. About us The University of Sydney is Australia’s first university with an outstanding global reputation for academic and research excellence. Since our inception 175 years ago, the University of Sydney has led to improve the world around us. We believe in education for all, and that effective leadership in education and research makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. Across our campuses, we employ over 7600 academic and non-academic staff who support over 70,000 students. We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us. The University of Sydney is recognised as one of the top research and teaching universities in the world. We are Our world university rankings - The University of Sydney, ranked Top 25th in QS University World Rankings 2025, 2nd for sustainability in Australia. EEO Statement At the University of Sydney, we are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from female candidates from all backgrounds. We are proud to be recognised with a Bronze Athena Swan Award and as an Australian Workplace Equality Index (AWEI) Platinum employer. Find out more about our work on diversity and inclusion. Anticipated timelines Please refer to the Engineering Recruitment Guidelines for key information about this recruitment campaign. Contact Information For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Helen Efstathiou, Recruitment Consultant. Recruitment Operations, Human Resources on +61 2 8627 7137 or by email hr.engineeringcampaign@sydney.edu.au © The University of Sydney The University reserves the right not to proceed with any appointment. Position Descriptions: Click to view the Position Description for Lecturer – Level B role. Click to view the Position Description for Senior Lecturer - Level C role. Click to view the Position Description for Associate Professor – Level D role. Applications Close Monday 13 July 2026 11:59 PM
Salary
Competitive salary
Posted
1 Jun 2026
Dean, Saïd Business School
University of Oxford
United Kingdom, Oxford
University of Oxford
United Kingdom, Oxford
The University of Oxford’s Saïd Business School is seeking an outstanding academic leader to serve as its next Dean, leading a globally recognised business school distinguished by its international outlook, entrepreneurial spirit, academic excellence, and commitment to addressing complex global challenges through research, education, and engagement. The Dean will provide strategic and academic leadership across all aspects of the School’s activities, working collaboratively with colleagues across the collegiate University and beyond. Alongside advancing research excellence, educational innovation, and external engagement, the Dean will play a central role in fostering an inclusive, supportive, and high-performing culture. The successful candidate will demonstrate a deeply people-centred approach to leadership, with the ability to build trust, empower others, develop talent, and create an environment in which faculty, professional services staff, and students can thrive. The successful candidate will be effective in building trusted relationships internally and externally, and in bringing people together around a shared sense of purpose and ambition. The successful candidate will bring intellectual credibility, strategic judgement, and outstanding leadership skills, together with the ability to inspire and unite a diverse community. They will be an effective ambassador for the School, building strong relationships within the School, across Oxford, and with alumni, donors, policymakers, industry leaders, and partners across the globe. This is a rare opportunity to lead one of the world’s most distinctive business schools at a time of profound change, and to shape the contribution Oxford Saïd can make to business, policy, and society in the years ahead. For further details and information on how to apply, please visit www.odgers.com/96125
Salary
Competitive
Posted
1 Jun 2026
Assistant Professor / Above in Emotional Intelligence
Beijing Normal University - Hong Kong Baptist University United International College
China, Qianshan/Zhuhai
Beijing Normal University - Hong Kong Baptist University United International College
China, Qianshan/Zhuhai
Beijing Normal-Hong Kong Baptist University (BNBU) now invites candidates for this position which is expected to be filled in Sep 2026: Assistant Professor or above in Emotional Intelligence (Ref: SGE260507) Job Description: Teaching Responsibilities: Deliver general education courses on emotional intelligence for undergraduate and postgraduate students using embodied/somatic practices to enhance emotion regulation, while collaborating with the teaching team and coordinating with the Whole Person Education Center's course arrangements. Course Development: Lead the development of three-credit elective courses that integrate emotional intelligence, embodied learning, and somatic practices, and promote their inclusion into related disciplines such as Psychology, Artificial Intelligence, and Sports and Health. Research Responsibilities: Conduct interdisciplinary academic research on emotional intelligence and somatic practices with fields like Psychology, Neuroscience, Sports Science, Active Health, and AI, and assist the Center in building an academic network and organizing seminars or workshops. Student Mentorship and Whole Person Education: Provide academic guidance and project supervision for students' somatic practice research, promote well-being and learning through physical practices and extracurricular community activities, participate in interdisciplinary course collaborations to embed emotional intelligence into the whole person education framework, and deliver public lectures or training sessions for faculty and students. Job Requirement： Possess a doctoral degree in Psychology, Cognitive Science, Neuroscience, Health Sciences, Sports Science, Somatic/Embodied Integration Studies, or a related field. Postdoctoral or university teaching experience is preferred. Fluent English teaching ability (language certification or overseas degree experience required). Expertise in Somatic/Embodied Practices Have systematically studied and continuously practiced at least one verifiable somatic/embodied practice method. Professional certificated is preferred. Be able to organically integrate somatic/embodied practices with emotional intelligence course content, rather than merely as background knowledge. Teaching Competence Evidence of effective teaching, such as student evaluations of teaching, teaching observation reports, or teaching awards. Research Competence Have a clear research direction in areas such as emotion regulation, mindfulness-based interventions, somatic/embodied practices, embodied cognition, affective neuroscience, or related fields. Possess the ability to independently apply for research funding. Be able to supervise students in conducting small-scale research projects and support student outcomes presentation or publication. Interdisciplinary and Collaborative Skills Be willing and able to engage in interdisciplinary collaboration with faculty in fields such as Psychology, Neuroscience, Sports Science, Education, Art Therapy, and related areas. Demonstrate strong team collaboration spirit and be able to participate in curriculum system development and teaching innovation activities at the Center for Whole Person Education. Administrative and Service Duties Be able to undertake necessary public service tasks, including course management, course evaluation, and student activity organization. Have experience delivering public lectures or somatic practice experiential activities for faculty and students on campus. Application Procedures Please complete the job application form and upload the requested documents online: https://hrapp.bnbu.edu.cn/recruit/job/vacancy/JobDetail/1250. If you failed to submit your application online, please send your application by emailing to recruit@bnbu.edu.cn. Applications should include a curriculum vitae and a completed "Job Application Form" which can be downloaded from https://hro.bnbu.edu.cn/Job_Opportunities_/Application_Procedure.htm. Please indicate the position being applied for, including the field of expertise, level and reference number. The University reserves the right not to fill these positions, or to extend the search until suitable candidates are identified or to make an appointment by invitation. We are an equal opportunity employer committed to creating a diverse environment.
Salary
Salary is commensurate with qualifications and experience
Posted
1 Jun 2026
Postdoctoral Researcher / Doctoral Researcher Positions in Machine Learning
Aalto University
Finland
Aalto University
Finland
Several Postdoctoral researcher and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals Samuel Kaski’s two-part research lab in ELLIS Institute Finland (Probabilistic Machine Learning, Aalto University) and the Centre for AI Fundamentals in University of Manchester, is searching for postdocs and doctoral students to work on AI fundamentals in exciting projects. The work includes collaboration within ELLIS Institute Finland, the Finnish Center for Artificial Intelligence (FCAI), with the rest of ELLIS, and researchers from other fields. Samuel Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is the Director of ELLIS Institute Finland and the Finnish Center for Artificial Intelligence. His research group develops machine learning principles and methods focusing on a few key topics, often working with researchers of other fields in new exciting applications (see currently available topics below). Topics You will join a team developing the next generation of probabilistic and collaborative AI. We study fundamental questions in machine learning, including uncertainty-aware and simulation-based inference, generative modeling, robustness under distribution shift, automatic experimental design, privacy-preserving learning, (inverse) reinforcement learning, computational rationality, and user modelling. Our goal is to develop principled AI methods that are reliable, adaptive, and scientifically useful. The research combines advances in ML foundations with real-world applications in domains such as scientific discovery, healthcare, and design or drugs, materials, systems. By bringing together expertise in machine learning, statistics, optimization, we tackle challenging interdisciplinary problems that cannot be solved by any single approach alone. Below, we outline the research topics for which we are currently seeking candidates. Multimodal foundation models Key words: multimodal learning, foundation models, human-aligned fine-tuning, fine-tuning for downstream tasks, test-time adaptation You will join a research team developing next-generation multimodal foundation models that can reason across text, images, video, and 3D molecular design and robotic environments. The research is conducted within an EU-funded European AI initiative ELLIOT. Our goal is to make these systems more grounded, adaptable, efficient, and aligned with human goals and feedback. The work combines fundamental advances in multimodal representation learning with practical questions of deploying large-scale AI systems in dynamic real-world settings. Depending on your interests, you may work on topics such as large-scale multimodal training, test-time adaptation under distribution shift, efficient model distillation and adaptation, retrieval-augmented learning, or alignment through human feedback, preference, and interaction. Out-of-Distribution Deployable Machine Learning Key words: out-of-distribution generalization, distribution shift, active learning, human-in-the-loop learning, probabilistic modelling, sequential experimental design, collaborative AI, decision support We develop machine learning methods that remain reliable when deployed outside their training conditions. A central challenge in modern AI is that real-world environments differ from the data that models were trained on, leading to failures caused by distribution shifts, hidden confounders, and incorrect assumptions. Our ERC AdG-funded research addresses these challenges by combining probabilistic machine learning, adaptive inference, and human-collaborative AI. Your work will focus on developing algorithms and frameworks that enable models to adapt to new environments, learn efficiently from limited feedback, and support human decision-making under uncertainty. Depending on your interests, the research may involve out-of-distribution generalization, domain adaptation, active learning, learning from expert feedback, sequential experimental design, collaborative AI systems, or probabilistic approaches to robust deployment. The project combines foundational ML research with opportunities to collaborate closely with leading application-domain experts and international research partners. Collaborative AI Key words: collaborative AI, human–AI interaction, decision support, human-in-the-loop learning, uncertainty-aware AI, interactive machine learning, computational rationality, AI-assisted discovery You will join a research team developing collaborative AI systems that work effectively with people in complex decision-making and problem-solving tasks. Our goal is to build AI methods that can interact naturally with users, reason under uncertainty, adapt to human preferences and expertise, and support reliable human decision-making. The research combines machine learning, probabilistic modelling, cognitive modelling, and interactive AI to develop systems that complement rather than replace human intelligence. You may work on topics such as human-in-the-loop learning, uncertainty-aware decision support, preference learning, adaptive interaction, AI-assisted scientific discovery, computational rationality, or collaborative reasoning between humans and AI systems. The work addresses both foundational questions in human-centered machine learning and practical challenges in deploying collaborative AI in real-world environments. The work offers opportunities to collaborate with leading international researchers and application-domain experts in areas including healthcare, sciences, and intelligent decision support. Fundamental and Applied Machine Learning Research Key words: machine learning, probabilistic modelling, generative AI, representation learning, optimization, trustworthy AI, adaptive systems, AI for science We are also looking for researchers interested in tackling ambitious open problems in machine learning beyond the themes listed above. Our group works on a broad range of topics spanning probabilistic modelling, generative AI, adaptive and interactive learning systems, trustworthy AI, and AI methods for scientific discovery and decision-making. We are particularly interested in research that combines strong methodological foundations with the potential for high real-world impact - and the impact can come at different time horizons. Depending on your background and interests, your work may involve developing new machine learning principles, scalable inference and optimization methods, robust and uncertainty-aware AI systems, generative models, representation learning methods, or novel applications of AI in science, healthcare, and intelligent systems. We encourage interdisciplinary research and collaboration across machine learning, statistics, cognitive science, and application domains. The position offers considerable freedom to shape research directions while contributing to a collaborative and internationally connected research environment. Your experience and ambitions We expect the candidates to have a solid background in the mathematics/statistics/computer science needed in machine learning, and hold or be close to getting a relevant doctoral degree for a postdoctoral researcher and a master degree for a doctoral student researcher. Previous experience in the application fields and cognitive science is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary. We provide 1) RESEARCH ENVIRONMENT You will work in Professor Samuel Kaski’s research group in ELLIS Institute Finland (Probabilistic Machine Learning Group) or the UK (Centre for AI Fundamentals). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in ELLIS Institute Finland, the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and Centre for AI Fundamentals of the University of Manchester and a number of excellent researchers in other fields in our applications. 2) JOB DETAILS Postdoc positions are typically made for up to three years, with option for renewal; doctoral-student positions start with a two-year contract and continue with a second two-year contract after a check-point. Starting dates are flexible and all positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field. All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically starting from 4200€ for postdocs and 3100€ for doctoral students, increased as the experience grows. All employees have access to occupational health care services and are covered by the Finnish national health insurance system. Ready to apply? Submit your application through Aalto recruitment system Workday by the button below “apply now”. The deadline for applications is June 28 2026 at 23:59 Finnish time. You can either submit a separate application to the University of Manchester (the application link will be added in early June) if you want to be considered for both locations, or a single application if you want to be considered only for that specific location. Required attachments Cover letter (1–2 pages). CV List of publications (please do not attach full copies of publications) A transcript of doctoral study and earlier studies (especially for doctoral students) The degree certificate of your latest degree. If you don’t yet have a PhD degree for a postdoctoral researcher position or a Master degree for a doctoral student position, a plan of completion must be submitted. Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters. All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB. Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account. Contacts: Coordinator Fang Wang (fang.wang@aalto.fi) More Information We are part of ELLIS Institute Finland, which is a leading research environment building on Finland’s strong track record in machine learning research, including work at the Finnish Centre for Artificial Intelligence FCAI. ELLIS Institute Finland is part of the European ELLIS network and operates in close partnership with Finnish universities, RDI organizations, and industry, forming a vibrant AI and machine learning ecosystem. The Institute offers excellent computational resources - its own resources and through CSC, including access to the LUMI supercomputer and the European AI Factory, and is located in Otaniemi, Espoo, within a dynamic research and innovation hub. Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with 14 000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, 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 Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several international surveys (7th in Europe and 1st in the Nordics (NTU 2023); and 88th worldwide in Times Higher Education subject ranking 2025). 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: World Happiness Report 2025: People are much kinder than we expect, research shows | The World Happiness Report. For more information about living in Finland: Why Finland? | Aalto University More info: twitter.com/fcai_fi linkedin.com/company/fcai youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w Newsletter: http://eepurl.com/gVPBpf Aalto.fi twitter.com/aaltouniversity facebook.com/aaltouniversity instagram.com/aaltouniversity 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
3100€ - 4200€
Posted
1 Jun 2026
