University of Northern British Columbia (UNBC)

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). The Department of Computer Science is now looking for a Postdoctoral Researcher in Geometric Algorithms. We are seeking a postdoctoral researcher to join our computational geometry team through the grant entitled "Algorithms in hyperbolic geometry" funded by the Research Council of Finland. Computational geometry is the theoretical basis for all types of geometric processing of data, and it is an important and vibrant area of Theoretical Computer Science (TCS). The research will be focused on algorithms and computational complexity in Euclidean and especially non-Euclidean (e.g. hyperbolic) settings. Your role and goals Your primary goal in this position will be to do excellent research on the frontiers of geometric algorithms, both in collaboration with the team and in your existing professional network. We aim to continue publishing in the top international venues in theoretical computer science and computational geometry. In addition to research work, persons hired are expected to participate in teaching following the standard practices at the department. Your network and team You will be working closely with the Computational Geometry Group, which currently has 5 members: two PhD students, 2 postdocs, and the PI (Sándor Kisfaludi-Bak). Aalto University and the Helsinki region have a strong presence in theoretical computer science, and collaboration outside the group (as well as international collaboration) is highly encouraged. Your experience and background Requirements for postdoc applicants Ph.D. in theoretical computer science, mathematics, or a closely related area Research-level experience with the design and analysis of combinatorial algorithms Deep interest or familiarity with computational geometry / geometric algorithms Interest in or familiarity with at least some of the following: discrete mathematics and graph theory, non-Euclidean geometry, computational complexity theory, computational topology Experience with hyperbolic geometry is not required. What we offer The starting salary for the position is 4229,48 EUR per month. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The annual total workload of research and teaching staff at Aalto University is 1 612 hours. The position is located at the Aalto University Otaniemi campus. There is generous travel support for conferences and research visits. We often travel to various conferences and workshops, and we also have international visitors at regular intervals. You will have opportunities to establish new collaborations and expand your professional network. Ready to apply? To apply for the position, please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment system by using the link on Aalto University’s web page ("Apply Now”). Letter of motivation (including information on the above listed requirements for the position) CV including list of publications Degree certificates and academic transcripts Contact details of at least two referees The deadline for applications is 08.07.2026. The position will be filled as soon as a suitable candidate is found. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period. 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 Further information Sándor Kisfaludi-Bak, e-mail "sandor.kisfaludi-bak@aalto.fi" (research related information) HR Advisor, Susanna Holma, e-mail "hr-cs@aalto.fi" (recruitment process) 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. And this webpage about Aalto and Finland: Why Finland? | Aalto University 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: World Happiness Report 2025: People are much kinder than we expect, research shows | The World Happiness Report. 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.

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Applied Artificial Intelligence (AI) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Applied AI and related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied AI capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Equivalent industry experience may also be considered. At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated experience applying AI to the SIT’s focus areas Experience in one or more of the following areas will be advantageous: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit-learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++. Good grounding in mathematics, including probability, statistics, and algorithms. Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth. Strong technical writing, communication, and presentation skills. Good analytical, critical thinking, and problem-solving abilities. Proactive, resourceful, and able to take ownership of assigned responsibilities. What SIT offers: An applied research environment to tackle real-world problems together with industry partners Opportunities to shape a coherent applied AI research agenda with colleagues across disciplines and build Singapore’s applied AI research capability at a pivotal moment Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. The International Relations & Politics programme area sits within the People, Politics and Communication subject group, part of the School of Humanities and Social Science. We are seeking to appoint a Lecturer in Politics, Philosophy, and Economics. Following the successful launch of our MA in International Relations in 2017, we introduced the BA (Hons) International Relations & Politics in 2019. In that period of time, we have established our excellence. In the The Guardian’s most recent league table for International Relations we finished 7th, and our NSS scores are consistently excellent. We are strategically growing. As part of this, we are launching BA (Hons) Politics, Philosophy, and Economics in September 2026. This post offers a good opportunity to strongly contribute to the new programme and our thriving and ambitious International Relations & Politics area at LJMU. We seek a colleague able to teach across our undergraduate and postgraduate programmes. You must have teaching expertise in philosophy or political philosophy, as leadership of the introduction to philosophy module is a core requirement of the role. A second core module combines all three PPE disciplines to examine contemporary issues. Module pro-formas can be sent on request. Experience of teaching introductory material that connects politics, philosophy, and economics is desirable. The People, Politics and Communication subject group brings together International Relations & Politics, Media, Culture & Communication, and Sociology. Colleagues are members of the Liverpool Centre for Cultural, Social and Political Research (CSPR). We would expect you to contribute to exciting research being undertaken in our centre and to develop teaching that attracts students. The role also involves contributing to teaching at Foundation, undergraduate and postgraduate levels more broadly, as needed. Applicants must hold a PhD in a relevant field and have appropriate undergraduate teaching experience. The key responsibilities include: Designing and delivering high-quality teaching across the PPE programme and related degrees. This particularly includes contributions to the Philosophy-based dimensions of the programme. Contributing to programme development and academic leadership. Producing impactful research and/or knowledge exchange. Undertaking administrative roles as directed by the International Relations & Politics area leader, Head of People, Politics & Communication department, or Director of the School of Humanities and Social Sciences. Informal enquiries can be made to Dr Matthew Alan Hill at m.a.hill@ljmu.ac.uk International Relations & Politics Area Lead. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.