Montanuniversität Leoben

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Assistant Professor Division of Science (Post Ref.: 26/128) The Division of Science (formerly known as Science Unit) (DoS) was established in 2015, comprising a dedicated team of scholars and researchers with expertise in biodiversity conservation, ecology, and sustainability analytics. The DoS offers 4 programmes in the field of environmental science and sustainability, including: (1) Minor in Environmental and Scientific Literacy; (2) MPhil in Environmental Science; (3) PhD in Environmental Science and (4) Master of Science in Sustainability and Environmental Analytics. Apart from teaching and research, the DoS is highly engaged in community outreach and knowledge transfer activities. We promote science education and sustainable development through immersive field visits and internships, citizen science initiatives, and Service-Learning projects. The Division of Science (DoS) invites applications for the position of Assistant Professor in biodiversity conservation, ecology, or a closely related field. We seek an outstanding and well-rounded scholar who can demonstrate excellence in research, teaching, student mentorship, grant acquisition, and external engagement. The successful candidate will be expected to obtain externally funded research projects, build and lead a productive research team, publish in high-impact peer-reviewed journals, and teach effectively at both undergraduate and postgraduate levels in a liberal arts setting. The appointee will also contribute to the academic, professional, outreach, and knowledge-transfer activities of the Division, School, and University, and is expected to build meaningful collaborations with local NGOs, government bodies, industry, and other external partners. General Requirements Candidates should have (1) a PhD/Post-doctoral experience in the field of biodiversity conservation ecology, or a closely related discipline; (2) relevant postdoctoral and/or independent research experience; (3) a strong publication record in peer-reviewed, international journals; (4) demonstrate success in securing competitive external research grants and fundings; (5) a strong commitment to excellent teaching, student supervision, outreach, and knowledge transfer; (6) experience in, or strong potential for, working with local NGOs and other external partners, and (7) the ability to contribute to, applied areas such as carbon auditing, sustainability assessment or related fields, alongside the university’s goal of producing socially significant research that informs sustainable development. The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Appointment The conditions of appointment will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will start immediately and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

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

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 School of Engineering drives science and innovation in industrial and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our school lies in close collaboration with stakeholders across research and education. About 45 doctoral candidates and 350 master’s students graduate from the school every year. The school is home to 700 staff members, including 70 professors. To learn more, please visit eng.aalto.fi. We are now looking for a Doctoral Researcher in Transport Studies The doctoral researcher will be embedded in the Spatial Planning and Transportation (SPT) research group and contribute to the CO-SPACES research project funded by the Research Council of Finland. The aim of CO-SPACES is to assess the benefits and burdens created by current and possible future urban street space distribution in Finnish cities, with a focus on both the aggregate societal impacts and equity implications affecting different groups of people, as well as on how to integrate this assessment into existing local governance processes. The PhD project should focus on the last part, especially around the questions of governance – by both understanding the diverse actors’ views and assumptions and working with them to reimagine governance processes. Your experience and ambitions We are looking for a highly motivated candidate with strong analytical skills and a clear interest in urban transport systems and their governance. The successful applicant should enjoy working in an international and interdisciplinary research environment and be willing to engage with both mixed-methodological and applied research questions. Applicants should hold a master’s degree in transport studies, urban planning, policy studies, sociology, or any governance related field relevant for the PhD. Fluent written and verbal communication skills in English are essential. Knowledge of Finnish is not required. The successful applicant should be able to work both independently and collaboratively as part of a research team. Previous knowledge of and experience in the field of transport planning and street design will be considered an advantage. Applicants must fulfil the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University. Your network and team The doctoral researcher will join a team of world-class researchers at Aalto University, a public research university that was established in 2010 after a merger of three major Finnish universities. It is consistently highly ranked in the areas of science, art, technology, and business. The University’s main campus is located in Otaniemi, approximately 15 minutes by metro from the centre of Helsinki. Helsinki is a safe, clean, green capital city with a very high quality of life. Most of the country’s population speaks English fluently. More information about living and working in Finland can be found at For international staff | Aalto University. The doctoral researcher will receive extensive individual academic training and support, and be given wide opportunities to participate in scientific conferences and meetings. The doctoral researcher will work as a mentee of Associate Professor Miloš N. Mladenović in the SPT research group: Spatial Planning and Transportation Engineering | Aalto University, at the Department of Built Environment. What we offer The position is fully funded for four years, with a preferred starting date in autumn 2026 (negotiable). The doctoral degree is granted after successfully completing a set of advanced taught courses (30 ECTS), writing a doctoral thesis (usually based on several peer reviewed journal publications), and defending the thesis in a public examination. During the PhD, the doctoral researcher will be expected to present at high-level scientific conferences, publish in leading academic journals, actively participate in the SPT research group activities, assist in the preparation of new research proposals, and help to advise master’s students during the preparation of their thesis. The salary range, terms, and conditions are based on a collective bargaining agreement among Finnish universities. The starting salary for doctoral students at the School of Engineering is currently 3143€ per month (gross), which is gradually increased over time depending on performance. All doctoral students at Aalto University are first granted a two-year contract, evaluated by a compulsory midterm review during the second year, with the possibility of extension for the remaining period (a further two years) if satisfactory progress has been made. Join us! Please submit your application through our recruitment system by 1 September 2026. The link to the recruitment system can be found at the end of this job advertisement (“Apply now!”). All applications must include the following materials: Motivation letter with the applicant’s contact information and an indication of the preferred starting date (max 1 page) CV including details of all academic outputs and email information for 2 persons who may be contacted to provide a character reference (max 2 pages) Outline of the applicant’s proposed PhD research project, including an overview of related research in the field, important academic theories/debates, research hypotheses/questions, research methods, work plan, data sources, and analytical approaches (max 3 pages) Summary of the applicant’s master’s thesis (max 1 page) Copy of the applicant’s master’s degree certificate and transcript of studies (with a clear explanation of the grading scale). Students in the final year of their master’s are welcome to apply, but the expected graduation date must be clearly stated in the application. Candidates must have completed the master’s degree before the PhD contract begins. All materials should be submitted in English in a single PDF file (compiled in the order specified above). Applications submitted by email will not be accepted. Aalto University reserves the right to leave the position open, extend the application period, and consider candidates who have not applied during the application period. 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. Content-related questions about the vacancy may be directed via email to Miloš N. Mladenović (PhD mentor), milos.mladenovic@aalto.fi. For questions related to the application process, please contact Sanni Sievänen (HR Advisor), sanni.h.sievanen@aalto.fi. We will go through applications, and we may invite suitable candidates to interview already during the application period. 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 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 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.