Federal University Lokoja
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Research Engineer / Research Fellow (Commercial Off-The-Shelf (COTS) Drone) - PL
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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.
Salary
Competitive
Posted
14 May 2026
Professional Officer (All Levels) (Chemical Process Engineering)
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs. Job Requirements A good degree in Chemical Engineering or a related field. Masters, PhD and/or relevant professional certifications would be advantageous. Track record in project leadership and impactful industry experience in Chemical Process Technology. Deep technical specialist with 10 or more years of working experience in unit operations (e.g. Heat Exchanger, Distillation Column, Reactors, Cooling Tower etc). Practical knowledge of Quality Management Systems and Engineering standards including but not limited to ISO9001, OSHA and BSI etc. Practiced in Chemical Process Design software (for e.g. HYSYS) Proficiency in analytical techniques such as HPLC, GC-MS, LC-MS, ICP-OES, ICP-MS, and related methods, with a focus on biopharmaceutical analysis would be an advantage. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.
Salary
Competitive
Posted
14 May 2026
Research Assistant, AI Driven Photonics Design Engineer
RMIT University
Australia
RMIT University
Australia
1 x full time, fixed term (2 years) position available in the School of Science within STEM College Salary Academic Level A ($80,755 - $109,536) + 17% Superannuation Based at the City, but may be required to work and/or be based at other campuses of the University About the Role We are seeking an engineer to develop next-generation photonic devices using artificial intelligence, inverse design methods, and physics-based modelling. The role is embedded within the ARC E2Crop Hub and the Centre for Atomaterials and Nanomanufacturing (RMIT University), which focus on renewable energy systems, intelligent sensing, advanced materials, and nanoscale device technologies. The successful candidate will develop machine learning approaches (including generative models and physics-informed neural networks) to design and optimise integrated photonic devices and metasurfaces. This includes building automated workflows that link electromagnetic simulation tools with AI models to accelerate device discovery and performance optimisation. The role involves applying computational methods such as topology optimisation, adjoint techniques, and data-driven modelling to identify high-performance, manufacturable photonic structures while accounting for fabrication limits and multi-physics effects. You will also contribute to internal software tools that support rapid prototyping and enable broader research teams to use AI-driven design methods. The position offers access to advanced computational infrastructure and fabrication facilities, supporting research at the intersection of photonics, AI, and nanotechnology. About You Deep understanding of waveguide optics, light-matter interaction, and plasmonics Proficiency with electromagnetic simulation tools (e.g., Lumerical FDTD/MODE, COMSOL Multiphysics, Ansys HFSS, or Meep) Familiarity with Photonic Integrated device design flow and foundry PDKs (Silicon Photonics, SiN, or III-V) Strong proficiency in Python and machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience with photonic design techniques and global optimisation algorithms (Genetic Algorithms, Particle Swarm, Gradient Descent) Experience implementing deep learning architectures relevant to physics, such as CNNs for image-based field prediction, Graph Neural Networks (GNNs), or Physics-Informed Neural Networks (PINNs) Solid grasp of numerical methods, partial differential equations (PDEs), and linear algebra Experience with high-performance computing (HPC) or cloud-based simulation acceleration Experience with integrated photonic device fabrication and light-matter interactions Evidence of research output including high quality publications, conference contributions and/or technical reports in the field. Ability to generate alternative funding projects through effective liaison with industry and government. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of communication skills. Qualifications Mandatory: Ph.D. degree in Optical engineering, Applied Physics, or Computer Science Publication record in top-tier journals, demonstrating the application of machine learning to physical problems Experience with surrogate modelling to replace computationally expensive simulations Knowledge of lithography limitations and design-for-manufacturability (DFM). Problem-solving abilities for determining innovative solutions to the complex problems common to photonics design and fabrication. Attention to detail for ensuring precision in coding and model training - and enhancing the accuracy and reliability of AI modelling and data quality. Collaborative skills for working effectively with data scientists, software developers, and project managers. Adaptability, including a willingness to stay updated with the rapidly evolving field of frontier research and learn new techniques and technologies as they emerge. Communication skills for explaining technical project requirements, progress, and outcomes to non-technical stakeholders Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. For more information on this role, please connect with Dr. Mingdeng Luo, ARC E2Crop Hub Manager at mingdeng.luo2@rmit.edu.au Position Description - Research Assistant, AI Driven Photonics Design Engineer Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.Applications close on 14th of June, Sunday.About RMIT UniversityRMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.https://www.rmit.edu.au/abouthttps://www.universitiesaustralia.edu.au/university/rmit-universityWhy work at RMIT UniversityOur people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.https://www.rmit.edu.au/about/facts-figures/reputation-and-rankingsBring Your Whole Self to WorkWe are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careersRMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.We are a Circle Back Initiative Employer - we commit to respond to every applicant.
Salary
Competitive
Posted
14 May 2026
Associate Professor/ Professor of Education Data and Evidence
Australian Catholic University (ACU)
Australia, North Sydney
Australian Catholic University (ACU)
Australia, North Sydney
Lead and contribute to the Institute for Learning Sciences &Teacher Education research and engagement profiles. ACU offers 17% employer superannuation, salary packaging and generous leave provisions. Full-time, continuing role at our Brisbane, North Sydney, Strathfield or Melbourne campus with some hybrid flexibility. About the role: Operating within Institute for Learning Sciences &Teacher Education, the Associate Professor/ Professor of Education Data and Evidence will be accountable to the Director of ILSTE and work in close collaboration with the NSE and other academic and professional staff across the university. The Professor will be expected to lead and contribute to the Institute's research and engagement profiles. In addition to producing high quality research and providing research leadership, including attracting HDR students and competitive grants, the Professor will play an important role in advancing research excellence including contributing to research-based teaching as required. The role incorporates working with industry, government and other relevant stakeholders to grow opportunities for partnership work and engagement with external stakeholders on key issues relevant to data, evidence and technology such as GenAI. Furthermore, the Professor will strategically develop and promote ILSTE and the Faculty of Education and Arts in alignment with the University's Mission and Strategic Plans. For full position details, refer to the position description Contact: General enquiries can be sent to Greg Thompson, Director, Institute for Learning Sciences and Teacher Education at: greg.thompson@acu.edu.au What we offer: The University pursues an excellence agenda and offers an environment where staff are welcomed and safe, and valued through development, participation and involvement. Total remuneration valued to $202,272 - $222,654 total rem (pro rata) pa, including salary component $171,352 - $188,772 (pro rata) pa (Associate Professor - Academic Level D), employer contribution to superannuation and annual leave loading or total remuneration valued to $260,037 - $260,037 total rem (pro rata) pa, including salary component $220,723 - $220,723 (pro rata) pa (Academic Level E Increment 1), employer contribution to superannuation and annual leave loading.The level of appointment will be determined based on the level of experience, skills and capability of the successful candidate. 17% employer superannuation contributions to eligible continuing and fixed-term staff. Annual leave loading of an equivalent to 17.5% of four weeks' salary pro rata payable, dependent on your commencement date. As an ACU staff member, you will have access to generous benefits which include but not limited to: flexible work, study leave, a variety of leave provisions and salary packaging. Find out more information about the benefits or working at ACU here. How to Apply: Step 1: Review the Position Description and become familiar with Our Mission and the Application process Step 2: Click the 'View Position Description and Apply' button, and populate your candidate application details, including your: Resume. Recommended responses to the Selection Criteria and Core Competencies in a cover letter (maximum 2 pages) or in the online Declaration and Criteria application page. Brief online responses to any pre-screening employment questions. Applications close: 8-JUNE-2026 at 11:59pm AUS Eastern Standard Time Preferred candidates will be required to complete mandatory pre-employment declarations and background checks, including those related to gender-based violence and foreign interference, in line with ACU's compliance requirements. This position requires a Working with Children Check (WWCC) and/or Working with Vulnerable People Check (WWVP) (ACT only). Candidates must hold Australian work rights to apply for this position. For permanent/ continuing roles, applicants must have permanent work rights. For further information visit Immigration and Citizenship(homeaffairs.gov.au) Your Privacy of personal information is maintained in accordance with ACU policy. For more details visit: www.acu.edu.au/careers ACU is committed to fostering an inclusive workplace culture that values diversity and enables our people to reach their potential. This is underpinned by our mission and values, grounded in our respect for all people and the advancement of the common good. In line with our commitment to equity, diversity and inclusion we welcome candidates from all backgrounds and lived experiences. ACU is recognised as a Veteran Employment Supporter and veterans are encouraged to apply. ACU offers support for candidates that may require adjustments through the recruitment process. Please contact recruitment@acu.edu.au to discuss your requirements in confidence. About ACU: Australian Catholic University (ACU) is an inclusive community which welcomes students and staff of all beliefs. ACU has over 2,500 staff supporting more than 34,000 students across eight campuses - Ballarat, Brisbane, Canberra, Melbourne, North Sydney, Strathfield, Blacktown and Rome. ACU aspires to be a home for our staff, offer the care of a family and develop an academic and professional community. Whatever your faith or culture, and whether you are academic or professional staff, there are many opportunities both for learning and contributing at ACU. As valued members of our community, all staff members are expected to have an understanding of ACU's mission and values and to demonstrate an active contribution to them. ACU does not accept candidate applications submitted by external recruitment agencies through the ACU careers website.
Salary
$202,272 - $260,037 total rem (pro rata) pa
Posted
14 May 2026
Teaching Assistant in the Faculty of Social Sciences
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 536292 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Executive / Technical / Support, Teaching Staff Teaching Assistant in the Faculty of Social Sciences (Ref.: 536292) (to commence in July 2026 or as soon as possible thereafter, on a one-year temporary term, or a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme totaling up to 10% of basic salary, and with the possibility of renewal subject to funding availability and satisfactory performance.) Applicants should possess a Bachelor’s degree in Arts, Social Sciences, Science, Computer Science or a related discipline, with at least one year of experience in teaching and research. They should have excellent analytical, problem-solving and communication skills, as well as an excellent command of written and spoken English. Preference will be given to those with experience of teaching and research in computational social science, social data analytics, population studies or related social sciences disciplines, especially good command of Python and R language for various social sciences/humanities applications. The ideal candidate will be able to assist in multiple courses such as machine learning, programming, big data analytics, statistics, social network analysis, natural language processing, and population analysis. The appointee will work on the Master of Social Sciences in the fields of Social Data Analytics, and Population and Policy Analysis programmes offered by the Faculty of Social Sciences. He/She will assist course teachers in course preparation, administration and other academic activities, grade and provide feedback on assignments and tests, invigilate examinations, provide consultative support to students outside class, and perform other duties as assigned by the Programme Directors or their delegates. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV, a covering letter and copies of their university transcripts/ degree certificates. Review of applications will start as soon as possible and continue until June 5, 2026, or until the post is filled, whichever is earlier.
Salary
Competitive salary
Posted
14 May 2026