Brigham Young University-Hawaii

We seek an established researcher in quantum science and technologies with a strong and well-developed research track record, capable of leading and expanding SUAD’s research activities in this area. The successful candidate should demonstrate sufficient academic maturity to sustain an independent research program while contributing to the development of quantum-related teaching. The successful candidate will provide strategic leadership and academic excellence in teaching, research, and service within the Department and across Sorbonne University Abu Dhabi (SUAD). As an accomplished scholar with a strong and internationally recognized research record in quantum technologies, the appointee is expected to develop an ambitious research program in theoretical physics and/or computer science, with a focus on quantum information and quantum technologies. Research activities may span the key pillars of quantum technologies—including quantum computing, quantum simulation, quantum metrology, and quantum communication. The appointee will collaborate closely with Sorbonne University and leading research laboratories such as LKB and LIP6 and will receive the resources needed to build and consolidate a Quantum Research Group at SUAD, including access to dedicated funding and co funding mechanisms for doctoral fellowships, as well as opportunities to host visiting scholars. One of the roles of the Quantum Research Group will be to foster collaborations within the UAE and with prominent global partners, supporting the growth of national and regional quantum ecosystems and positioning SUAD as a hub for excellence in quantum science and technology. In addition to research leadership, the successful candidate will contribute to high quality undergraduate and postgraduate education, mentor students and junior faculty and play a central role in advancing the University’s academic mission. From a teaching point of view, the new Faculty will be mainly engaged in teaching intermediate to advanced courses in Physics, Quantum physics and Quantum Information in the programs offered at SUAD, including the Bachelor’s in Physics – Concentration in Quantum Technologies. It is worthwhile noting that the programs are designed by Sorbonne University in France, while teaching is delivered exclusively in English. The programs follow the European Credit Transfer System (ECTS), and the diplomas are awarded by Sorbonne University. The successful candidate will also be expected to develop and lead outreach activities in quantum science and technology, including public engagement and broader community programs, thereby strengthening societal understanding of quantum technologies and inspiring future generations.

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a Postdoctoral researcher in quantum algorithms and optimization. Are you as excited about quantum technology and its future applications as we are? We are now looking for a postdoctoral researcher to support the Micro and Quantum Systems (MQS) research group in fundamental and applied research in quantum computing at Aalto University’s Electronics and Nanoengineering department. In this position you will have a chance to make a real impact by high-quality research and by supervising doctoral students. Join us in shaping the future! Your role and goals  Your primary task as a postdoc is to conduct research into various quantum algorithms and optimization methods, both on the theoretical and the practical implementation aspects. You are expected to take an active role in advancing the research projects of the MQS group. We also have research activity and experimental facilities in quantum optics, so research in this direction is also a possibility. The exact research topics can be adjusted within the limits set by our current projects according to the interests of the applicant. Your goal in research will be to produce world-class results, in collaboration with the other group members, and publish them in high-impact journals. In addition to research, you will also be expected to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist, 2 postdocs and 5 PhD students. The group is led by Professor Ilkka Tittonen. Your experience and ambitions Applicants are expected to hold a PhD and excellent study records in theoretical physics, mathematics, computer science, or other relevant field. have sufficient background in quantum computing to conduct research on the topic. have a demonstrated ability for independent and collaborative research on advanced topics. have a working proficiency in English. (Finnish language is not required.) The research responsibilities can be adjusted according to the background of the applicant. Familiarity with quantum optics theory and/or experiments is a definite advantage. Teaching experience will also be a valuable asset. What we offer We offer the applicant the opportunity to conduct research in a vibrant and active national and international community. Finland hosts many active research groups in quantum computing connected via a national quantum consortium called InstituteQ with many quantum-related activities. We also have access to real quantum hardware, including VTT’s Q50 and Helmi machines and Aalto’s Q20, all located right downstairs from our offices. In addition, access to other leading commercial quantum computers is secured through ongoing funded projects, ensuring we can test and benchmark our methods on a broad range of state-of-the-art platforms. Aalto University also offers ample opportunities for multidisciplinary research and teaching collaboration. We offer you interesting work in an inspiring work environment. You will work in a community of students, researchers and other professionals, where we promote socially significant goals in the fields of science and education. We will familiarize you with your tasks and you will become part of a friendly and competent team that will offer you support in your work tasks also in the future. Our vast array of professional development opportunities at Aalto University means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line. The position is full-time with a duration of two (2) years. Join us! To apply, please share your application with us through our recruitment site ("Apply now!”) at the latest by May 31, 2026. Applications submitted by email will not be accepted. We encourage you to apply early, as we will go through applications, and we may invite suitable candidates to interview already during the application period. All materials must be submitted in PDF format, with up to five (5) files, each no larger than 5 MB. The application materials must include: CV (including a list of publications) Motivation letter Recommendation letters (max. 2, if available) Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). For more information regarding the open position, please contact professor Ilkka Tittonen, ilkka.tittonen@aalto.fi and university lecturer Matti Raasakka, matti.raasakka@aalto.fi. In any question regarding the recruitment process, please contact HR Advisor, hr-elec@aalto.fi. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

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.