University of Colorado Boulder

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY 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. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its upcoming Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of Engineering experts works with multi-disciplinary teams to drive strategic translational research in key areas such as energy resilience, sustainable infrastructure engineering and maintenance, and maritime engineering. As a young university, we encourage innovation and seek the right candidates to join us in realising our vision into an increasingly vibrant reality. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready undergraduates. We currently have positions available at all levels, from Lecturer to Full Professor, for the following programmes:  Civil Engineering / Mining Engineering: Emerging and disruptive construction technologies / High-performance construction materials with reduced embodied carbon / Tunnel engineering with expertise in design, construction, operation and impact assessment of tunnels  Electrical and Electronics Engineering: Power electronics / Power system analytics / Expertise related to marine / built sector (e.g. electrification of ships or maritime and building energy efficiency) / Digital twinning of electrical / aviation / manufacturing set-ups / Expertise in system design which may include green building design involving passive to active systems or land transport systems  Mechanical Engineering / Material Engineering / Marine Engineering: Transport infrastructure asset management / Domain Expertise in maintenance, operation and modelling of infrastructural assets and systems  Systems Engineering: Competent in data analytics for the power industry or building services / Experience in integrated digital technology such as AR/VR for system maintenance, including electrical power and thermal assets in buildings or shipyard or aviation / Strong  background in Infocomm Technology for IoT implementation and integration  Successful candidates will join the Engineering (ENG) Cluster (one of five academic clusters in SIT), as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes.                                                                    Faculty in the ENG Cluster undertake funded industry-relevant research, teach courses in civil, mining, electrical, mechanical, material, marine and systems engineering as well as supervise graduate industry masters and doctorate students in relevant topics. They are also provided with paid leave to undertake consultancy work with industry and/or spend time attached with industry.                                                                                                 We will prioritise collegial and team-spirited candidates with either (a) an earned PhD or equivalent from a reputable university with specialisation in any of the above-mentioned areas and some relevant work experience, or (b) extensive industry experience with demonstrated strong technical expertise in the above-mentioned areas. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below.

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.

About us: King’s College London is a world-renowned university that delivers exceptional education and world-leading research. We are committed to creating positive and sustainable change in our local and global communities through outstanding education, impactful research and genuine service to society. This role is based within Finance, specifically the Financial Strategy, Planning and Performance department. The Department is responsible for ensuring that King’s is managing it’s finances appropriately and that financially informed decisions are made. About the role: The primary purpose of this role is to contribute to the full range of management accounting work within the university. Working closely with other members of the management accounting community, the role provides useful information to faculty/directorate managers to improve their decision-making, planning and control. We are seeking a curious, enthusiastic, and approachable management accounting assistant with excellent oral and written communication skills to join our Finance Business Partnering (Operations) team at King’s. You will be working in a diverse, fast-paced and dynamic environment, using a range of skills to deliver quality financial support to discerning and demanding customers. The successful applicant will be able to demonstrate an understanding of accounting concepts and promote the understanding of financial knowledge within directorates in their communication with non-financial stakeholders. You should have experience of working with a financial accounting system and in exporting data to produce meaningful reports to meet the needs of diverse stakeholders. Working closely with Finance Business Partners, you will respond in a timely manner to meet our budget holder needs. This will include answering queries, performing reconciliations, staff approvals, updating the staff forecast tool, processing journals, budget and forecast movements, assisting with general month end tasks, creation of new activity codes, assisting with coding changes and restructures and the provision of management accounting information. ​​​The role holder will be based at Lavington Street in Central London and is currently expected to work 2 days per week on-site with the remainder of time working remotely. As required by the business, the post holder is required to work flexibly with regards to pattern or location. This is a full time post and you will be offered an indefinite contract. About you:  To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Highly numerate, as evidenced by qualifications in Mathematics at GCSE and A level, or equivalent; or AAT Level 3 or equivalent. Clear and concise written and verbal communication skills Confidence working under pressure and to tight deadlines Skills and experience working with a financial accounting package in the provision of financial reports and the ability to learn new systems quickly Strong Excel skills with an ability to extract and manipulate financial information in spreadsheets including pivot tables An ability to communicate general financial issues and accounting terminology to non-finance staff in language that they can understand Some experience of management accounting gained within a finance department, or evidence of other relevant experience Experience of dealing with a number of finance queries from a wide variety of stakeholders in a timely, methodical manner ensuring a high degree of accuracy Desirable criteria Proficient Excel user, comfortable with lookups, pivot tables, sumifs Curious, questioning nature, a willingness to challenge assumptions and seek clarity A strong desire to learn and develop, particularly in management accounting and finance systems A proactive approach to problem solving Attention to detail and accuracy 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 in the third week in January 2026. Grade and Salary: £34,713 - £38,127 per annum inclusive of London Weighting Allowance Job ID: 133825 Close Date: 04-Jan-2026 Contact Person: Catherine Cunningham Contact Details: catherine.1.cunningham@kcl.ac.uk