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Bennington College

Bennington, United States
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Research Engineer (Federated Causal Inference in Heterogeneous Data Environments) - UP

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills.

Salary

Competitive

Posted

13 Jul 2026

Research Fellow/Engineer (in AI solutions for train operations and maintenance) - FG

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to contribute to an industry innovation research project on developing artificial intelligence (AI) solutions for train operations and maintenance. Key Responsibilities Work closely with faculty members, researchers, students, and collaborators on research activities and technology development. Support research and development in Artificial Intelligence and related areas for train operations and maintenance. Assist in the coordination and management of the research project. Coordinate finance tracking, reporting, and communications with industry and research partners. Job Requirements Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration, or coordination of large-scale projects is highly preferred. Familiarity with finance management, budget tracking, procurement, or grant administration will be an added advantage. Experience in areas such as Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will be advantageous. Key Competencies Prior experience in research project coordination and management Basic knowledge about finance tracking and reporting Capabilities of communication and organisational skills

Salary

Competitive

Posted

13 Jul 2026

Lecturer in Computing - Digital and T Levels (FE)

UNIVERSITY COLLEGE BIRMINGHAM

University College Birmingham

United Kingdom, Birmingham

institution

University College Birmingham

United Kingdom, Birmingham


Salary: £35,608 - £43,482 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Academic, Digital, Further Education Job reference: REQ000582 Attachments: attachmentLecturer in Computing - Digital and T Levels (FE) (Hardware) JDPS - July 26.pdf Are you an experienced Lecturer in Computing – Digital and T Level in Further Education? Do you want to help shape a new multimillion-pound centre for Engineering, Digital and Sustainable Construction? Join our School of Engineering, Digital & Sustainable Construction as a Lecturer in Computing – Digital and T Levels (FE). You’ll deliver inspiring, inclusive teaching across areas such as Hardware, Networking, Cybersecurity, and Emerging Technologies, supporting students to succeed in: BTEC Level 2 Information & Creative Technology BTEC Level 3 Extended Diploma in Computing (RQF) Digital T Levels Access to HE Computer Science What We’re Looking For A degree in IT/Computer Science (or equivalent) is required. A teaching qualification is not essential for the role, as full support will be provided to help you achieve it. You’ll bring credible computing expertise—through industry experience or strong technical skills—and the ability to design engaging, blended learning. We’re particularly interested in applicants with hands-on skills in hardware setup, networking, and cybersecurity, including configuring, maintaining, and troubleshooting IT systems. In return, you’ll join a collaborative, innovative department that values professional growth and employer engagement to keep learning relevant and career-focused. If you’re ready to help students gain the skills the digital economy demands, we’d love to hear from you. Standard Information UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award. You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education

Salary

£35,608 - £43,482 per annum

Posted

13 Jul 2026

Careers & Employability Trainer

LIVERPOOL JOHN MOORES UNIVERSITY

Liverpool John Moores University (LJMU)

United Kingdom, Liverpool

institution

Liverpool John Moores University (LJMU)

United Kingdom, Liverpool


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. LJMU is seeking an experienced part-time Careers & Employability Trainer to join our award-winning Student Futures team. Student Futures is LJMU’s Careers, Employability and Start-Up team. We provide a diverse range of services, experiences, advice & guidance directly to students & graduates, designed to transform their skills, mindset and future success. As a value-adding partner, Student Futures provides expert consultancy & practical support to academic colleagues across the university. Careers & Employability Trainers devise & deliver creative, engaging and impact-rich sessions, within and beyond the curriculum. Key themes include: employability skills & strengths; sourcing and succeeding in work-based & placement learning; tailored support for diverse student groups; securing a fulfilling onward destination; and thriving in early careers as a graduate professional. You will be experienced in planning, delivering & continuously improving effective workshops for students or adult learners. You will have a strong understanding of the challenges and opportunities present in today’s economy and how students from a range of backgrounds can be supported to meet them. You will be an excellent communicator, self-organiser and team player. 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 our 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.

Salary

£38,784 - £46,049 pro rata per annum

Posted

13 Jul 2026

Programme Manager

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


About RoboPrecinct@PDD SmartPrecinct@PDD initiative aims to develop a precinct-scale robotics and embodied AI ecosystem at Punggol Digital District (PDD). The programme establishes shared digital infrastructure, regulatory frameworks (including cybersecurity and safety), embodied AI capabilities, industry collaborations, and real-world test-bedding environments to enable safe and scaled deployment of robots in PDD. The Programme Manager will lead the Programme Office and support the strategic planning, development, coordination, and governance of the SmartPrecinct@PDD programme. Key Responsibilities Programme management Reporting to the Lead PI of the SmartPrecinct@PDD programme, the Senior Programme Manager will oversee the overall execution and progress monitoring across multiple work packages in the programme. Coordinate multi-disciplinary activities to ensure alignment of technical development, infrastructure deployment, and regulatory initiatives. Support the principal investigators (PIs) to conduct technical integration between work packages where applicable. Track programme milestones, deliverables, budget, and reporting to the grantor and institution leadership. Supervise other Programme Office staff and coordinate administrative support functions. Stakeholder and governance management Lead engagement with government agencies and other stakeholders to develop governance frameworks for robot operations in PDD. Coordinate development of policies and agreements related to robot certification, data sharing, safety compliance, and cybersecurity standards. Support programme steering committees by preparing briefings, reports, and strategic updates. Ecosystem development Identify strategic collaborations with new industry and public sector partners to grow the SmartPrecinct@PDD ecosystem. Support programme expansion initiatives and new funding opportunities. Requirements Minimum Bachelor’s degree in engineering, robotics, computer science, AI, cybersecurity, or a related field. Ideally 10+ years of relevant experience in programme management, technology development, or public-sector innovation initiatives, with strong technical background in related fields. Experience managing large multi-stakeholder projects involving government agencies, industry partners, and research institutions. Strong strategic thinking and stakeholder engagement capabilities. Proven ability to manage complex programmes involving multiple technical teams and deliverables. Excellent communication and leadership skills. *Note: The incumbent will be appointed as REsearch Engineer/Research Fellow if successful.

Salary

Competitive

Posted

13 Jul 2026

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