Asia University, Taiwan

Introduction As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met. Initiate and help guide work and demonstrations in the following tasks: Firmware extraction and reverse engineering. Study, understand and analyse mobile platform applications. Design, develop and test AI-driven security testing techniques. Design, develop and test control augmentation techniques. Adaptation of developed techniques for more generic use. Perform project documentation and technical mentoring of student assistants. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.  Job Requirements A good degree in Computer Science / Engineering, preferably with a relevant postgraduate qualification for Research Fellow. Proficiency with firmware extraction and reverse engineering. Proficiency with penetration testing techniques and tools. Proficiency with software scripting and development work on desktop and / or mobile platforms. Key Competencies Self-directed learner who believes in continuous learning and development. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Proficient in technical writing and presentation. Able to build and maintain good working relationships with people within and external to the university.

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The University: 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. Our faculty work closely with the 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. The Hospitality Business Programme (BHB): The Bachelor of Hospitality Business with Honours is a direct honours degree programme. It is the first and only hospitality business degree programme offered by an autonomous university in Singapore. The programme aims to nurture hospitality leaders who are passionate about making positive and tangible contributions to the industry. Qualifications: Applicants must be committed to excellence in discovery, teaching, and service to the hospitality and tourism industries. An applicant is required to have a Doctoral Degree in Hospitality and Tourism Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive management experience in the hospitality and tourism business, excellent teaching experience, and a strong publication record (e.g., industry or community reports), or has the potential to excel in these three areas. Principal Duties: The Hospitality Business Programme (BHB) is seeking a Senior Lecturer, Assistant Professor, Associate Professor, or Full Professor in one or two of the following areas: Hospitality Tech / Digitalization / AI Application in Hospitality and Tourism / AI Marketing Data Analytics / Big Data Hospitality Investment and Development / Asset Management (Hospitality) Entrepreneurship Additionally, the successful candidate will conduct funded industry-relevant research, teach courses in their areas of expertise, and supervise capstone students in relevant topics. They are also granted paid leave to undertake consultancy work with industry and/or spend time attached to industry. As a young university, we encourage innovation and seek the most qualified candidates to join us in realising our vision. We offer competitive remuneration, generous employment benefits, access to funding for industry-relevant research, and opportunities to inspire and nurture the next generation of skilled and work-ready graduates. Applications will be accepted until the position is filled. All applications must be submitted through the SIT website.

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 industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. 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: Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics. Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography. Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers. Reporting: Prepare research findings for publication in scientific journals and present results at conferences. 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. Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any adhoc duties assigned. Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN. Strong analytical and problem-solving skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage 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