BBS BGFI Business School

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.

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 purpose of this role is to deliver on a collaborative research project, Proteins for Singapore (P4SG), where you will be part of the research team to establish and understand the structuration of algae/soybean/mung bean proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and structure of alternative protein foods Design, execute, and interpret experiments independently. Participate in and manage the research project with Principal Investigators (PI), and the research team members to ensure all project deliverables including periodic progress reports are met. Author papers in high-quality journals and contribute to grant writing in areas that are related to the research. 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 manage a team of junior researchers and students to ensure proper operation and maintenance of equipment. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Ideal qualities of the candidate include: 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 Highly proficient in technical writing and presentation  Strong analytical and critical thinking skills Strong initiative and takes ownership of work The candidate should have relevant competence in the areas of processing technology, physical and structural analysis, material formulation, and mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine learning, and rheology will be advantageous.

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.