Ludong University

About UCBD Universal College Bangladesh (UCBD), an educational initiative of STS Group, is the first transnational higher education (TNE) institution in Bangladesh to deliver fully accredited international programmes. UCBD partners with the University of London (academic direction by LSE), University of Lancashire, and Monash University to provide globally recognized qualifications. Our current offerings include full degrees from the University of London under the academic direction of the London School of Economics, full degrees from the University of Lancashire, pathway programmes to Monash University Australia and Malaysia. Position Summary UCBD invites applications for the position of Assistant Professor in Business and Marketing. The successful candidate will teach relevant business and marketing courses along with leading the business and marketing streams offered under different partner universities. Key Responsibilities Lead and support the learning ecosystem of the Business and Marketing programs. Deliver lectures, workshops, tutorials, and assessments. Support curriculum alignment with different partner universities’ academic frameworks. Engage in research, consultancy, and professional practice. Develop and consolidate contacts with industry/employers and other external organisations. Collaborate with industry partners and UCBD’s academic teams.  Qualifications and Experience Essential: PhD in Marketing, Business, or related field. Master’s and or Undergraduate degree (or equivalent) in a relevant subject. At least 5-7 years of teaching experience (post PhD or combined) in relevant fields. Demonstrated professional expertise and teaching experience in the discipline and/or subject areas being taught at university level. Understanding of the principles of effective assessment design, using formative assessment to improve student performance, and familiarity with international summative assessment standards. Capacity to establish a rapport with students, and the effective communication and interpersonal skills need to engage with students, parents, colleagues and other stakeholders. Familiarity with academic administration through serving on academic committees, working as a programme or subject leader, etc. Desirable Evidence of publications including academic and industry publications and conference presentations. A positive personal work ethic, solid organizational and time management skills, the capacity to tackle multiple responsibilities, prioritize important tasks, and deliver on time. Compensation and Benefits Package Salary Range: USD 3,000–3,500 (net). Negotiable for exceptionally qualified candidates.  Accommodation: Fully furnished, institution-designated apartment located near the campus. Transportation: Pick and drop service provided. Baggage Allowance: USD 500 for the employee and USD 500 for each accompanied dependent (if any). This allowance will be provided twice — upon initial joining and upon final departure. Utilities: Electricity, gas, cable TV, and internet expenses covered by the company as per policy. Medical Insurance: Local medical insurance coverage for the employee and accompanied dependents. Mobile Allowance: Institution-provided SIM card with monthly ceiling as per policy. Air Travel: Annual round-trip air ticket (economy class) to the home country for the employee and accompanied dependents. Education Benefit: Free education (tuition and admission fees) for up to two children at any Cambridge curriculum school under STS. Professional Development: Will be entitled to Professional Development opportunities (relevant to the job role), as per policy. How to Apply Interested candidates are invited to submit their updated CV and cover letter to: career@ucbd.edu.bd Only shortlisted candidates will be contacted. UCBD is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Schemes of Service: Faculty Division: Infocomm Technology Employment Type: Permanent, Fixed Term The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry‑relevant degree programmes that prepare graduates to be work‑ and future‑ready professionals. SIT’s mission is to maximise the potential of its learners and to innovate with industry through an integrated applied learning and research approach. Our distinctive pedagogy integrates work and study, emphasising authentic, real‑world learning through close collaborations with strategic industry partners. SIT’s centralised campus in the Punggol Digital District, together with strategically deployed “Living Labs,” provides a tightly integrated ecosystem where academia, industry, and community converge.     SIT is expanding its applied AI research capabilities, building a cohort of AI faculty who are keen and experienced working on industry problems across sectors. We are recruiting faculty candidates at all levels of seniority. Responsibilities: Lead and contribute to applied research projects with industry partners and government agencies in one or more of the following AI application areas: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Healthcare Hospitality & Tourism Develop and teach applied AI courses within the cluster’s programmes and across relevant interdisciplinary modules. Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners. Contribute to SIT’s continuing education offerings. Serve as AI mentor for existing SIT domain faculty through joint projects and co-supervision mechanisms. Qualifications: PhD in Computer Science, Engineering, or a relevant domain with demonstrated AI/ML research experience. Equivalent industry experience may also be considered. Technical expertise and deep knowledge of one or more of the following areas: Physics-informed neural networks (PINNs) & surrogate modelling Time-series modelling & anomaly detection Bayesian methods & uncertainty quantification LLMs & multi-modal models Graph neural networks (GNNs) Reinforcement learning Edge AI & model optimisation Trustworthy AI (explainability, auditability, privacy) Spatiotemporal data engineering Digital twins & simulation Experience applying AI to the SIT’s focus areas Demonstrated leadership and evidence of working on industry/society-defined problems Experience with industry research collaborations, applied research grants, and/or system deployment Established thought leadership and/or professional standing e.g. publications in top journals and keynotes Non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems Track record of cross-disciplinary collaborations Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Ability to communicate clearly with domain experts, industry practitioners and the general public 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 SIT values applied research impact and evaluates faculty according to how their research makes a difference to society or industry Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub How to apply: Candidates should submit the following: Curriculum vitae including grants, publications, and non-publication outputs (code, datasets, patents, technical disclosures) Cover Letter Research statement (up to 3 pages) addressing your applied AI research programme, how it connects to SIT’s cluster context, and your experience with industry-connected research. Highlight three past research outputs with a brief explanation of each output’s impact. Teaching statement (up to 1 page) addressing your approach to applied learning

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 researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures.  Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability. 4. Design and Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave flumes or basins to validate computational models. Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination: Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders. Contribute to project proposals and progress updates for funding agencies. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry standard will be an advantage Ability to work independently and in teams in both lab and field environments. Excellent communication (verbal and written) and teamwork abilities Key Competencies 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 Show strong initiative and take ownership of work