Lyceum-Northwestern University

Position: Lecturer (Early Career Faculty)/ Assistant Professor- Digital Marketing Location: Gurugram, Delhi NCR Job Level – Level A/ B Employment Type: Full-Time About Victoria University Victoria University (VU) is establishing its first India campus in Gurugram, Delhi NCR, scheduled to open in mid-2026. Victoria University (VU) is a leading dual-sector tertiary institution based in Melbourne, Australia, offering both higher education and TAFE programs. With over 42,000 students globally, including a strong international presence, VU operates across multiple campuses in Melbourne, Sydney, and partner institutions in Asia (Sri Lanka and China). Guided by its strategic plan “Start Well, Finish Brilliantly 2022–2028”, the University aims to become a global leader in dual-sector learning and impactful research. VU is known for its industry partnerships, innovative teaching models, and commitment to creating career-ready graduates while fostering inclusive and future-focused education. In India, Victoria University (VU) is establishing its first India campus in Gurugram, Delhi NCR, scheduled to open in mid-2026, delivering industry-aligned programs with a global curriculum. The Gurugram campus focuses on emerging technologies such as Artificial Intelligence, Data Science, and Information Technology, providing students with international exposure, practical learning, and strong industry connections. Position Summary The Lecturer (Early Career Faculty)/ Assistant Professor – Digital Marketing will contribute significantly to teaching, curriculum development, research, and academic coordination within the marketing discipline at the Victoria University Business School. The role involves teaching undergraduate and postgraduate marketing programs with a strong focus on digital marketing, while integrating industry practices, business tools, and real-world applications into the classroom. The appointee will also actively engage in impactful research, contributing to the University’s research priorities and publishing in high-quality journals (ABDC A/A* or Q1/Q2), while developing as an emerging business researcher. Indicative Areas of Expertise Digital Marketing Marketing Analytics & Data-Driven Marketing Social Media Marketing & Strategy Consumer Behaviour E-commerce & Online Business Marketing Strategy & Brand Management Industry Engagement & Experiential Learning Key Responsibilities Deliver marketing and digital marketing subjects at undergraduate and postgraduate levels Design and develop innovative, industry-relevant curriculum and learning materials Facilitate engaging teaching in face-to-face, online, and blended modes Integrate business tools and digital platforms into teaching delivery Assess student performance and provide timely, constructive feedback Contribute to curriculum development and subject coordination Conduct research and publish in high-quality journals (ABDC / Q1 / Q2) Contribute to the supervision of postgraduate research students (Masters/PhD) Engage with industry partners to enhance real-world learning experiences Participate in academic administration, moderation, and quality assurance processes Support international academic partnerships and collaborations Ensure compliance with university policies and academic standards Qualifications & Selection Criteria Essential Assistant Professor: PhD (or equivalent) in Marketing, Digital Marketing, or a related discipline Lecturer (Early Career Faculty): Master’s degree and/or currently a PhD candidate in Marketing, Digital Marketing, or a related discipline Demonstrated teaching experience at undergraduate/postgraduate level Strong expertise in digital marketing and related domains Experience in curriculum development and subject coordination Evidence of research and academic publications (ABDC / Q1 / Q2) Ability to deliver teaching in a dynamic, collaborative environment Strong communication, interpersonal, and organisational skills Commitment to teaching excellence and university vision Desirable Industry experience in digital marketing or related sectors Proficiency in marketing tools and digital platforms (e.g., analytics tools, CRM, ad platforms) Application Requirements Applicants are required to submit with the following documents: Resume (Curriculum Vitae) Cover Letter If you experience any issues while submitting your application, please email: career@daskalos.com

Cluster: Engineering Job Purpose We are seeking a Research Fellow at the Singapore Institute of Technology (SIT) to undertake high-quality applied research for a funded project at the Singapore Institute of Technology aimed at advancing understanding of lift-generated noise in residential buildings. The role supports the achievement of the grantor’s objectives and proposed research outcomes through rigorous investigation, close collaboration with the PI and research team, and the development of industry-relevant insights for the built environment sector. We are looking for a passionate and detail-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift traction motor noise and vibration in residential buildings, including conducting sound intensity and vibration measurements, analysing acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI, and research team members to ensure that all technical milestones and project deliverables are achieved. Undertake the following responsibilities in the project: i. Plan and conduct field measurements of lift traction motor noise and vibration in residential buildings using sound intensity probes, accelerometers, and multi-channel data acquisition systems. ii. Perform signal processing, vibration analysis, and acousto-structural transmission path investigations to identify dominant noise sources and structural coupling mechanisms. iii. Develop and implement measurement protocols, experimental setups, and data acquisition procedures for airborne and structure-borne noise studies. iv. Analyse measurement data using specialised acoustic and vibration analysis software, and develop predictive or simulation models to interpret noise propagation and structural vibration behaviour. v. Prepare technical reports, research publications, and presentations to disseminate findings to academic, industry, and funding stakeholders. vi. Assist in the development of mitigation strategies or engineering guidelines to reduce lift-related noise transmission in residential environments. Coordinate site access, field measurements, and technical discussions with project collaborators, industry partners, and building stakeholders. Coordinate procurement of equipment, liaison with vendors/suppliers, and ensure proper calibration, operation, and maintenance of measurement instrumentation. Carry out laboratory and project risk assessments, and ensure compliance with Work, Safety and Health (WSH) regulations during field measurements and experimental work. Co-supervise undergraduate student projects related to acoustics and vibration measurements when required. Work independently, as well as within a multidisciplinary research team, to ensure timely completion of project tasks and research outputs. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements PhD in Acoustics, Mechanical Engineering, Aerospace Engineering, Civil Engineering, or a closely related field. Have relevant competence in acoustics, vibration, and structural dynamics. Familiarity with signal processing and vibration/acoustic analysis techniques. Experience with data analysis using tools such as MATLAB, Python, or equivalent engineering software. Experience with experimental and instrumentation measurements setup for noise and vibration (e.g., sound intensity probes, vibration sensors, or similar instrumentation) involving microphones and accelerometers, or multi-channel data acquisition systems will be advantageous. Knowledge of building acoustics, structure-borne noise, or machinery vibration will be advantageous. Prior research experience with peer-reviewed publications in acoustics, noise control, or vibration engineering will be advantageous. Key Competencies Possess strong analytical and critical thinking skills in solving engineering and research problems. Proficient in technical writing and presentation for reports, publications, and stakeholder communication. Able to work independently while also contributing effectively within a multidisciplinary research team. Demonstrate strong initiative and take ownership of assigned research tasks and project deliverables. Able to organise and manage field measurements, instrumentation setup, and experimental data collection. Good problem-solving ability in addressing technical issues encountered during experiments or measurements. Able to build and maintain effective working relationships with project collaborators, industry partners, and research staff. Self-directed learner who is committed to continuous learning and professional development. 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.

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 deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV). 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: Conduct the research work in Human-in-the-Loop AI perception system for autonomous driving Work with the research team, collaborators and the industry partner to design the framework of the proposed solution Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be advantageous. Have strong research record, preferably on top-tier computer science/engineering conferences. Key Competencies Specialized in computer science, computer engineering, or relevant disciplines Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and critical thinking skills 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 Show strong initiative and take ownership of work