Lane College

At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence.  In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses.  The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen   Recently completed postdoctoral training   Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas  Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for intake 2026.  Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.  Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Food, Chemical and Biotechnology Sustainable and Functional food: Sustainable food systems & circular food economy - alternative proteins, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical transformations, separations, purifications and formulation applied to pharmaceuticals manufacture; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and sustainability.

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.  Job Responsibilities Participate in and manage a few research projects with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports Schedule meetings with co-PIs, collaborators on-site or off-site Update research or project team's activities on social media, website, and record videos when needed. Supporting PI/research team for overseas traveling, meetings, budgeting and collecting photos for reports. Facilitate visiting students or scholars for internal document collection and approval. Collect documents needed for different projects as KPIs. Undertake these responsibilities in the project: i. Lead and support high-quality publications to disseminate the applied research outcomes. ii. Plan, organize, and carry out experiments and trials in the labs to achieve the objectives iii. Manage and complete the project by presenting the findings in conferences or meetings with industrial collaborator, submitting timely data & documents, and purchasing chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meeting slides and reports. v. Engage and communicate with collaborators for progress meetings and report generation to meet the grantor's requirements. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Job requirements Have relevant competence in the areas of project management, organizing documents, and facilitating report drafting. Have a degree in Food Science and Technology, Engineering or Science is a bonus. Some analytical work experience for texture analysis, food formulation and characterization, or publication is a bonus Detail-oriented person, able to communicate with industrial collaborators to share key findings, seek supports, or conduct commercial trials. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Doctoral position at Department of Electronics and Nanoengineering at Aalto University, in Espoo, Finland. DC2: Sub-terahertz and terahertz reconfigurable intelligent surfaces Main supervisor:  Prof. Viktar Asadchy[AALTO] Co-supervisors/mentors:  Dr. Victoria Tormo [INDRA] and Dr. Barthès [3DEUS] Objectives To establish an analytical modeling approach for multilayer tunable metasurfaces that captures the key electromagnetic coupling effects between layers and enables fast prediction of their tunable response without relying solely on full-wave simulations. To create efficient adjoint-based optimization methods for tunable metasurfaces that provide rapid sensitivity/gradient evaluation, support high-dimensional design spaces, and allow systematic optimization of performance targets such as efficiency, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally characterize their electromagnetic performance. To validate the achieved tuning range and functional performance in laboratory measurements against modeling and simulation results. This position is part of the MetaTune Doctoral Network "Reconfigurability using inversely designed metasurfaces", which has been funded under the Horizon Europe Marie Skłodowska-Curie Actions (MSCA) program. Acquire knowledge During the thesis, the candidate will acquire a solid understanding of the theoretical and practical requirements for designing tunable and reconfigurable metasurfaces, with emphasis on multilayer architectures and system-level performance metrics (efficiency, bandwidth, angular response, and robustness). In parallel, the candidate will gain in-depth knowledge of analytical modeling techniques and adjoint-based optimization methods for high-dimensional inverse design, as well as develop practical expertise in prototyping and laboratory characterization. Go to the project webpage for more information What METATUNE Offers Work contract at Aalto is for 36 months funded through the MSCA network, with the additional benefits for employees (public and universal health system, free schools, etc.). Two 3-month research stays, one at Indra Sistemas SA in Madrid and one in 3DEUS Dynamics SAS at Lyon are foreseen in the research plan. Opportunity to pursue a PhD degree at a leading European university within a collaborative, international network. Training program including research-specific and transferable skills courses. Active participation in workshops, conferences, and network-wide events to build professional and scientific connections. Stimulating, multidisciplinary, and international research environment within a prestigious European training network. Starting date: Now-December 2026; negotiable. Deadline for online application: May 31, 2026 (but candidates are encouraged to apply as soon as possible). Requirements Mandatory Requirements You must have a finalized master’s degree in fields related to the research topic: Electrical Engineering, Physics, Telecommunications Engineering, Applied Physics, Optics, Material Engineering, or similar. You should not have a doctoral degree at the time of recruitment. You must not have resided or carried out your main activity (work, studies, etc.) in Finland for more than 12 months in the 36 months immediately before the recruitment (this is a requirement from the funding authority). You will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering and must satisfy the eligibility conditions for this doctoral programme. Sufficient skills in the English language. Additional Requirements Strong background in electrodynamics and excellent mathematical skills. Basic knowledge of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills, attention to details, and ability to meet deadlines. Willingness to learn and work collaboratively in a research environment. Desired skills and knowledge Proficiency in electromagnetic simulation software, such as COMSOL Multiphysics, ANSYS HFSS, or CST Studio Suite. Solid knowledge of computational electromagnetics. Previous experience with design and fabrication of metasurfaces. Apply now via this link, at the latest by May 31st, 2026: https://metatune.webs.upv.es/jobs/