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Okinawa Christian University

Nakagami-gun, Japan
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About Okinawa Christian University

Basic information and contact details for Okinawa Christian University

institution

Okinawa Christian University achieved university status in 2004. It can trace its origins back to the creation of Okinawa Christian Academy in 1957 and continues to share its campus with the Christian Junior College founded in 1959.

It was the first private higher education institution on the Ryukyu Island, which became part of Japan in 1879 and has since been defined by military events. It has also the only Christian-oriented university in the prefecture.

Seeking to be "a university that serves the community based on the gospel of Christ" it aims to develop talented human resources in order to make Okinawa an "international peace island", it is based in Nishihara, known as "education town" for the presence of several institutions, just outside the island’s capital Naha. Since 2014 it has been a member of the Okinawa Universities Consortium.

The main building on the Nishihara campus, built in 1989, won an Architectural Institute of Japan award. All undergraduates study in the faculty of English communication. It operates on two pillars - core learning which covers basic English and education, and active learning which is about applying those skills.

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Professional Officer (All Levels) Generative AI (SPICE/ RaPID)

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Job Purpose The Professional Officers Division (POD) houses two Innovation Centres – Rapid Product Innovation and Development (RaPID) Centre and SIT-Poly Innovation Centre of Excellence (SPICE) Centre. The RaPID Centre aims to guide businesses in their innovation and value creation activities through rapid product development and sample production while the SPICE Centre aims to support local Small and Medium Enterprises (SMEs) in their technology-driven transformation, innovation and talent development initiatives. These Innovation Centres house a dedicated pool of Professional Officers who come with specialised and deep technical skills acquired through extensive industry experience. Professional Officers work with industry partners to co-create commercially viable solutions. They deliver on projects that help industries and businesses to move up the innovation value chain. While working on these projects, Professional Officers will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will translate the industry engagement into more innovation projects with SIT. Key Responsibilities Lead or co-lead innovation projects with industry. Involve in customer engagements including gathering of systems requirements and writing project scope. Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test documents. Manage laboratories and equipment to support academic programmes and applied research. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Job Requirements A degree in Computer Science or related Engineering discipline. Possessing a master’s degree, PhD degree and relevant certifications will be an added advantage. Experienced in developing machine learning and generative AI solutions for deployment into production. Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras) Strong programming skills in Python/Java/Javascript. Knowledge in LLM, RAG, LangChain would be advantageous. Knowledge of cloud computing and AI deployment (AWS, Google Cloud, Microsoft Azure) would be advantageous. Excellent problem-solving, analytical, and creative thinking skills. Work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. At least 2 years working experience in AI/ML software development.

Salary

Competitive

Posted

16 Dec 2025

Head of Communications and Engagement

KINGS COLLEGE LONDON

King's College London

United Kingdom, London

institution

King's College London

United Kingdom, London


About us: The Entrepreneurship Institute is the dedicated hub of all entrepreneurial activity at King’s College London. For almost 200 years, King’s has been striving to improve the world and today is bursting with creative problem solvers, innovative thinkers and entrepreneurial leaders. We believe that everyone can be entrepreneurial, and that entrepreneurial people can help make the world a better place by solving problems to create a healthier, smarter, more equal and sustainable future.  About the role: The Head of Communications and Engagement (maternity cover) will play a crucial, strategic role in championing the Entrepreneurship Institute’s (EI) vision and key message: that everyone can be entrepreneurial, and that entrepreneurial people can help make the world a better place by solving problems, creating a healthier, smarter, more equal and sustainable future. This role will increase awareness of, and participation in, entrepreneurial activities, through a programme of engagement about the Institute to diverse groups of students, staff and alumni, supporting them to understand what it means to be entrepreneurial and take their first steps in being a creative problem solver and disruptive thinker (i.e. early engagement). Engagement targets, each year, will include growth in digital communities, metrics showing engagement for the first time and deepening engagement as students participate and develop further. The role will also create communication plans for the Institute’s skills development and start-up support programmes (mid-to-high engagement). It is suited to a creative, curious and collaborative individual who enjoys the challenge of working across multiple projects with different stakeholders. The post-holder will manage a Communications and Engagement Officer, and work with them to develop and deliver a Communications and Engagement strategy that gives life to the Institute's vision and activities and compels audiences to join and further engage with our offerings. About you:  To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Educated to degree level in a relevant field or equivalent experience. Experienced across IT, design and marketing software (e.g. MS Office, social media, website CMS, email marketing, as well as Adobe Creative Suite). Excellent communications skills – ability to creatively translate technical information into compelling narratives and adapt communication style dependent on audience.  Strong stakeholder management skills, and the ability to work with multiple stakeholders with competing interests, whilst positioning organisational impact. Experience providing creative direction and strategic leadership on campaigns and projects. Ability to develop a communications and/or engagement strategy that deliver against key targets and engages diverse communities. Budget and resource management experience, with the ability to develop and deliver across multiple projects at one time. Experience as an empowering manager and leader with a creative, curious and collaborative approach to tasks.  Desirable criteria Understanding of digital marketing. Knowledge of/interest in entrepreneurship and relevant social and political influences. Strong strategic thinking and ability to ensure tactical implementation. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held on 23rd January 2026 Grade and Salary: £53,947 - £63,350 per annum inclusive of London Weighting Allowance Job ID: 133945 Close Date: 04-Jan-2026 Contact Person: Julie Devonshire Contact Details: Julie.devonshire@kcl.ac.uk

Salary

£53,947 - £63,350 per annum inclusive of London Weighting Allowance

Posted

16 Dec 2025

Lecturer/Senior Lecturer in Environmental Management

MASSEY UNIVERSITY

Massey University

New Zealand, Palmerston North

institution

Massey University

New Zealand, Palmerston North


About the role - Mō tēnei tūranga mahi The School of Agriculture and Environment, Massey University, is seeking applications for the position of Lecturer or Senior Lecturer in environmental management in the environmental science group, based on the Manawatū campus in Palmerston North. The purpose of this position is to contribute to enhancing the learning and qualification outcomes of Massey University’s students in environmental science and environmental management and the associated scholarly programme of teaching, research and publication, undertaking postgraduate research supervision, and providing administrative and professional service to the university and the broader academic, professional and general communities. This is a full-time, permanent position. About you - Mōu A PhD in environmental science, environmental management, environmental sustainability or a related relevant field such as natural resource management or land management is essential. The successful applicant will require the following experience for this role: Experience teaching university students or supporting academic staff to deliver teaching to university students Experience using electronic and online technologies in blended and distance teaching delivery Knowledge of policy frameworks and policy approaches relevant to environmental management and policy guidelines that support environmental monitoring in New Zealand Experience undertaking environmental monitoring, with a preference for monitoring vegetation and change, but which may include the practical application of other monitoring tools relevant to understanding land, water and the atmosphere A working understanding of different world views and perspectives related to environmental management, for example Māori perspectives and or indigenous natural resource management Experience using one or more environmental management tools Experience writing and securing research grants and contracts What’s in it for you? - Ko ngā hua o te tūranga? At Massey University, we offer: A collaborative and supportive team environment Flexible working hours and a strong focus on work-life balance Five university holidays per year in addition to annual leave A beautiful campus with onsite cafés and gym facilities The salary for this position will depend on skills and experience but will be in the range of Lecturer or Senior Lecturer ($83,201 - $152,711). Further enquiries should be directed to Professor Chris Anderson, School of Agriculture and Environment, Massey University at C.W.N.Anderson@massey.ac.nz To find out more about the School of Agriculture and Environment, please click here. Closing date Saturday, 31 January 2026. To apply, please click the 'apply now' and fill out the application on our website.

Salary

$83,201 - $152,711

Posted

16 Dec 2025

PhD Candidate/Student in Computational Quantum Chemistry & Spectroscopy

MASARYK UNIVERSITY

Masaryk University

Czech Republic, Brno

institution

Masaryk University

Czech Republic, Brno


Department: Radek Marek Research Group – Central European Institute of Technology Deadline: 28 Feb 2026 Start date: Flexible, ideally between May and October 2026 Job type: full-time Job field: Science and research Come to CEITEC MU in Brno and join us! We are passionate chemists at CEITEC Masaryk University looking for  PhD Candidate/Student in Computational Quantum Chemistry & Spectroscopy About this position:  Do you have a passion for understanding the electronic structure of molecules? Join our team! Our research focuses on the relationship between molecular and electronic structure and spectroscopic parameters, with a particular emphasis on magnetic resonance. This is an ideal opportunity for candidates interested in applied quantum chemistry, especially with a focus on heavy element compounds. The Marek Lab has access to state-of-the-art computational tools and cutting-edge NMR instruments at our local core facility, available for regular use. With secured third-party funding, our lab is well equipped to fully support the successful candidate’s research. We are seeking a creative, independent, and highly motivated colleague with a background in computational, theoretical, or physical chemistry, or chemical physics. Candidates with expertise in density functional theory (DFT) or theoretical spectroscopy are particularly encouraged to apply. 4 selected references:  A. Sasukimar et al. Supramolecular covalency of halogen bonds revealed by NMR contact shifts in paramagnetic cocrystals. Chem. Sci. 2025, 16, 20239-20244. https://doi.org/10.1039/D5SC05769H. J. Novotny et al. Paramagnetic Effects in NMR Spectroscopy of Transition-Metal Complexes: Principles and Chemical Concepts. Acc. Chem. Res. 2024, 57, 1467-1477. https://doi.org/10.1021/acs.accounts.3c00786. B.J.R. Cuyacot et al. Relativistic Spin–Orbit Electronegativity and the Chemical Bond Between a Heavy Atom and a Light Atom. Chem. Eur. J. 2022, 28, e202200277. https://doi.org/10.1002/chem.202200277. J. Vicha et al. Relativistic Heavy-Neighbor-Atom Effects on NMR Shifts: Concepts and Trends Across the Periodic Table. Chem. Rev. 2020, 120, 7065-7103. https://doi.org/10.1021/acs.chemrev.9b00785. Ideal candidate profile:  Must-have qualifications:  MSc or equivalent degree (preferably in Physical Sciences) Strong interest in electronic structure and quantum chemistry Hands-on experience with computational quantum chemistry and programming skills is a strong plus Fluency in English (spoken and written) Nice-to-have qualifications:  Good communication and interpersonal skills High motivation and a collaborative mindset What we offer:  Open access to computational resources and CEITEC MU core facilities with state-of-the-art equipment and experienced staff Full-time PhD contract An attractive and competitive salary Flexible working hours Support for further education and professional development  Benefits package: 6 weeks of paid holiday, medical insurance, financial contribution to meal and kindergarten/pension scheme, Multisport card, mental health care, sports lessons directly at the campus  Daycare for children on Campus Support in these areas: Welcome Office service before and after arrival  Grant Office support  CEITEC PhD Committee CEITEC events – workshops, conferences, lectures, training, family gathering etc. How to apply?  Application deadline: 28 February 2026 Start date: Flexible, ideally between May and October 2026 Interested candidates should submit their application via the online application portal.  The application should include the following documents: A motivation letter describing your research interests and relevant experience A detailed curriculum vitae (CV) Academic transcripts (Bachelor’s and Master’s degrees) Contact information for up to two academic referees In case of any troubles with the e-application, please contact Petra Linhartová (petra.linhartova@ceitec.muni.cz).

Salary

Competitive Salary

Posted

15 Dec 2025

Doctoral Researcher in Machine Learning for Surface Structures

AALTO UNIVERSITY

Aalto University

Finland

institution

Aalto University

Finland


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 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 Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, is hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council of Finland to build a machine learning tool for predicting the atomic structure of surfaces. You will work under the supervision of the project leader, Academy Research Fellow Dr. Ondřej Krejčí, and collaborate with international experts in materials and surface science. Together, you will help advance this key scientific discipline, which directly impacts such important technological and societal topics as semiconductor devices and heterogeneous catalysis for green fuel production. You will be fully integrated within the DAS group, a vibrant and diverse research environment whose core expertise is the development of machine-learning-infused atomistic modeling techniques beyond the state of the art and their application to study important problems in chemistry, physics and materials science. The group has access to state-of-the-art supercomputing facilities (like LUMI) and is very well integrated within the scientific community internationally. More about our activities: https://miguelcaro.org. The position is fully funded. Informal inquiries about the position can be directed to Ondřej Krejčí (ondrej.krejci@aalto.fi). Please, read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows for predicting how atoms rearrange on the surface of materials such as metal oxides and semiconductors. Knowledge of the precise atomic structure is important for understanding and predicting electronic and catalytic properties and thus to engineer the material surfaces better for their technological usage.  For training the machine learning models, you will generate datasets from electronic structure theory calculations. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools. You will also discuss tool development with AI and machine learning experts at Aalto University and share your results with experimental collaborators. The position is part of the Research Council of Finland project Towards Realistic Surface Structures (https://research.fi/en/results/funding/86328). A secondment to the group of Prof. Gareth Parkinson at the Technical University of Vienna is planned. In combination with the academic development courses at Aalto University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master’s degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, machine learning and a broad understanding of surface and material science. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning, and scientific method and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., VASP, GPAW, FHI-aims). Molecular dynamics packages (e.g., LAMMPS, GROMACS). Machine learning interatomic potentials (e.g., GAP, MACE, ACE). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch. If you have experience with other types of modeling tools (e.g., FEM), please state it in your cover letter. Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. If you feel you are interested and qualified for the position but are concerned about not fulfilling all the criteria, still feel free to apply. Take a look at this article in Forbes. What we offer  Aalto’s Department of Chemistry and Materials Science is a leading research environment in Finland for computational chemistry and materials science, with four groups specializing in different branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years with a possible 2-year extension after passing the midterm review. During the first 6 months you must apply and receive a right to study in the doctoral programme. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral Researchers is 3075 € / month (gross). The contract includes Aalto University occupational healthcare benefits. The position will be filled as soon as a suitable candidate is identified. The starting date for the position is in the Spring 2026, but the exact date can be agreed with the selected candidate. The primary workplace will be the Otaniemi Campus at Aalto University. Ready to apply? To apply for the position, please submit your application no later than 8.1.2026 including the attachments mentioned below as one single PDF document in English through the link ’Apply now’ link at the bottom of the web page. 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. Letter of motivation (max 1 page): Include your name and email. Briefly motivate your interest in the position and explain how/to what extent you fulfill the requirements. Briefly mention any prior research experience you may have. Please, do not use ChatGPT or similar tools to prepare your cover letter for you. CV including list of publications (max 2 pages): personal and academic information, list of skills, projects, etc. Lying on your CV is immediate grounds for disqualification. If you are invited for an interview, you will be asked about information provided here. If you are eventually offered the position, you will be asked for a transcript of academic records. Contact details of at least two referees (or letters of recommendation, if already available) Applications sent via email will not be considered; only submissions through the online recruitment system are accepted.  Questions about the vacancy may be directed via email to Dr. Ondřej Krejčí (firstname.lastname(a)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: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland 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

3075 € / month (gross)

Posted

16 Dec 2025