Indiana University East

Job Purpose: 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 develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. 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 Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.

(Fixed term for 4 months) Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn’t exist anywhere else and have shaped the city in which we belong. Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today. This is an opportunity to apply for a Postdoctoral Researcher post in Face Lab, relating to a craniofacial project and the application of dental data to the creation of a 3D digital avatar. You will require a 3D animation, computer science and/or anatomical modelling background. A knowledge of dental data and 3D visualisation is desirable. Face Lab, led by Professor Caroline Wilkinson, is an award-winning collaborative unit that combines art and science to explore facial identity and representation. Comprising academics and PhD researchers, it pioneers innovative craniofacial projects in forensic identification and digital heritage, advancing interdisciplinary research and knowledge exchange in heritage, arts, culture, and forensic investigation. Face Lab is a research group within the Forensic Research Institute (FORRI) at Liverpool John Moores University. https://www.ljmu.ac.uk/research/centres-and-institutes/forensic-research-institute/related-research-groups/face-lab Informal enquiries can be made to Professor Caroline Wilkinson at c.m.wilkinson@ljmu.ac.uk In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies. This is an exciting time to join the university as we deliver the LJMU Strategy 2030 and its vision of LJMU as an inclusive civic university transforming lives and futures, by placing students at the heart of everything we do. If you feel that this is the role you have been looking for and your skills and experience can make a real difference at LJMU, we look forward to hearing from you. LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated. LJMU are committed to adhering to the Principles set out in the Researcher Development Concordat; in line with this all fixed-term researchers will be supported to complete 10 days professional development activities per year (pro-rata). 

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/