Ilam University of Medical Sciences

The Department of Physics, Faculty of Science, at the University of Helsinki invites applications for  PhD student position in space plasma physics The start time of the position is in autumn 2026, or otherwise as agreed, for a fixed-term ending latest in August 2030 – a Finnish PhD thesis project typically takes around four years. Position description This PhD project will perform a coordinated analysis of multipoint in situ measurements and numerical simulations performed with the ion-kinetic Vlasiator code to quantify how interplanetary shocks modify solar wind current sheets across a range of scales. The research will be conducted within University of Helsinki Space Physics Group (https://blogs.helsinki.fi/spacephysics/) and will involve collaboration with leading ex-perts in the field from Europe and the United States. Selection criteria We are seeking a talented and motivated doctoral researcher (PhD student), who recently completed their MSc degree in the field of physics, space sciences, or a related field. The successful candidate will have a strong academic track record and either a solid theoretical foundation or experience with computational methods. Experience in data analysis and algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and communication skills are appreciated. Also, professional proficiency in either Finnish or English is required. The appointee should either already have the right to pursue a doctoral degree at the University of Helsinki by the start of the appointment or apply for the right and obtain it within the probationary period of six months of their appointment. If the candidate does not already have the right to pursue a doctoral degree at the University of Helsinki, it must be applied for separately (www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell). The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents. What we offer The Space Physics Group of the University of Helsinki is a leading European space physics group specialised both in observations and numerical modelling of space plasmas. The group provides ample opportunities to develop technical and transferable skills relevant to academic research and beyond. At the University of Helsinki, the appointee is offered a first-class teaching environment as well as the preconditions necessary for international cooperation (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki). The research at the university and the research-based teaching follow a high international standard, are nationally significant, and promote the mental and economic wellbeing of personnel. The starting salary of the doctoral researcher will be approximately €2700-2900 per month, depending on the appointees’ qualifications and experience. Furthermore, the University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University of Helsinki provides guidance for international staff relocating to Finland https://www.helsinki.fi/en/about-us/careers/welcome). The University of Helsinki welcomes applicants from a variety of gender identities, linguistic and cultural backgrounds. How to apply Applications must have the following enclosures (in English): Motivation letter (max 1 page) Curriculum vitae, including a list of publications, if applicable Transcript of academic records, including BSc and MSc thesis topics and their grades Full contact details for at least one academic referee, such as a previous supervisor (alternatively, letters of recommendation may be provided if already available). External applicants, please submit your application through the University of Helsinki’s recruitment system via the Apply Now button. Internal applicants, applicants who have a helsinki.fi username and a valid employment/grant/visitor contract at the University of Helsinki are requested to submit their application via the Employee login button The deadline for applications is 31.7.2026. Additional information Further information about the position can be obtained from Dr. Matti Ala-Lahti, matti.ala-lahti@helsinki.fi. With technical questions related to the recruitment system, please contact recruitment@helsinki.fi.

Ref.: 536648 Work type: Full-time Department: HKU Institute for Climate and Carbon Neutrality (47100) Categories: Teaching Staff Applications are invited for appointment as Lecturer (non-clinical) in the HKU Institute for Climate and Carbon Neutrality (Ref.: 536648), to commence as soon as possible, on a one-year temporary or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance. About the Institute and the Master Programme The HKU Institute for Climate and Carbon Neutrality (ICCN) is a premier transdisciplinary research, educational, and stakeholder-engagement hub dedicated to inspiring solutions for climate change and leading the global transition to net zero. The Institute offers the Master of Climate Governance and Risk Management (MCGRM), a unique interdisciplinary taught postgraduate programme hosted by the Faculty of Social Sciences in partnership with the Faculties of Science, Engineering, Architecture, Law, and Business and Economics. The programme bridges scientific rigor with strategic corporate action, equipping aspiring leaders with high-level expertise in corporate sustainability, ESG compliance, climate finance, and nature-based solutions. A core pillar of the curriculum is Climate Practice—connecting academic theory with hands-on experiential learning, corporate decarbonization projects, and field-based risk assessment. Duties and Responsibilities The appointee will play a pivotal role in driving the practice-oriented and applied educational components of the MCGRM programme. Key responsibilities include: Practice-oriented Teaching: Delivering dynamic, high-quality lectures, practitioner workshops, and intensive career-oriented training modules across core areas such as corporate climate governance, ESG accounting, carbon footprint management, or green innovation. Capstone & Fieldwork Supervision: Overseeing student Capstone Projects and guiding teams through hands-on corporate advisory reports, real-world decarbonization strategies, and global fieldwork investigations. Practitioner Mentorship: Bridging the gap between classroom theory and industry execution by providing dedicated academic advising and career mentorship to emerging climate professionals. Industry & Stakeholder Engagement: Collaborating with corporate partners, public policymakers, and environmental NGOs to expand internship networks, facilitate practical case studies, and support ICCN public events such as Hong Kong Climate Week. Curriculum & Administration: Assisting teaching faculty with ongoing syllabus reviews, course administration, pedagogical design, and student admission evaluations. Qualifications and Requirements Applicants should possess the following attributes: Academic Background: Background in Climate Science, Environmental Economics, Corporate Governance, Sustainability / ESG Management, Environmental Law, or a closely related discipline. Professional Practice Experience: Demonstrated industry, clinical, or practitioner experience in ESG consulting, corporate sustainability leadership, climate risk analysis, green finance, or carbon asset management. Pedagogical Excellence: Proven experience and excellence in teaching, professional training, or executive facilitation, with a strong commitment to interactive, action-oriented pedagogy. Communication & Language Skills: Native or near-native English proficiency with exceptional communication, presentation, and stakeholder management skills. Bilingual proficiency in English and Chinese (Cantonese or Putonghua) is highly desirable to support regional Greater Bay Area industry collaborations. Collaborative Mindset: The ability to work independently and as part of an agile, interdisciplinary team dedicated to solving high-stakes environmental challenges. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 31, 2026, or until the post is filled, whichever is earlier. Applications close: Jul 31, 2026 (HK Time)

Purpose SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners. IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or products and implementing AI solutions using ready AI tools to ensure a fast implementation to market. 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. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be 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.  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  Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. Key Responsibilities Lead or co-lead innovation projects with industry which includes SMEs, MNCs, government agencies. Work closely with centre head and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes.  Outcomes include impact or revenue of industry partners Understand industry partners requirements and help create proposals to them. Create IP (Intellectual Property) from internal grants to target multiple adopters Job Requirements 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.  A minimum of 8 years working experience in industry. Strong technical expertise in one or more of the following areas:  Usage of AI tools or software to solve industry problems or enhance industry operations 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  Time-series modelling and anomaly detection  Digital twins and simulation  Demonstrated Applied AI for Healthcare and clinical practice  Industry 4.0 and/or Industry 5.0 (added advantage) Experience utilizing AI tools to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.  Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required.