Lehigh University

The University of Surrey has a long-standing reputation for excellence in education, research and innovation. Ranked among the UK’s top universities for research quality, teaching and student satisfaction, Surrey combines academic rigour with real-world impact. Few examples better capture Surrey’s ambition and global influence than the Surrey Space Centre (SSC). Founded in the late 1970s by Sir Martin Sweeting, SSC pioneered the small satellite revolution and helped shape the modern space industry, leading to the creation of Surrey Satellite Technology Ltd (SSTL), a globally recognised spinout headquartered on campus. With more than 45 years of expertise and over 50 space missions delivered, SSC has established itself as a centre of excellence in space engineering and astronautics, renowned for innovation in small satellite design, autonomy, propulsion, Earth observation and in-orbit servicing. We are now seeking an exceptional leader to take on the role of Director of Surrey Space Centre. This is a pivotal appointment at an exciting moment in Surrey’s history. The Director will provide strategic and academic leadership to SSC, shaping and delivering its research, teaching and innovation agenda, while ensuring its continued global impact and financial sustainability. The postholder will lead and inspire a high-performing academic community, drive ambitious research targets, strengthen industrial and agency partnerships, and champion an inclusive and collaborative culture. The Director will also play a central role in the newly established Surrey Space Institute (SSI), serving as Co-Director and helping to shape Surrey’s pan-university space strategy. Bringing together expertise across engineering, science, business, law and policy, SSI builds on Surrey’s small satellite heritage to address major global challenges through three core themes: Water on Earth, Resilient Space Infrastructure, and Deep Space Exploration. The Director will ensure that SSC’s engineering excellence and mission capability are fully integrated within this interdisciplinary framework, strengthening collaborations across the University and with partners worldwide. This is an outstanding opportunity for a distinguished leader with an international reputation in space engineering or closely related discipline from a traditional academic career or a successful career in industry. You will bring a doctoral qualification or equivalent, a sustained track record of securing significant research funding, experience of leading major research programmes with high-quality outcomes, and a deep understanding of the UK and international space funding and industry landscape. Above all, you will demonstrate the ability to lead high-performing teams, inspire colleagues and partners, and articulate a compelling vision for the future of space research and education at Surrey. Surrey is a diverse, ambitious and welcoming community. We are seeking a leader of integrity, vision and collaborative spirit; someone who will build on SSC’s remarkable heritage while driving forward its next phase of growth and global influence, fully aligned with the University’s Vision 2041 ambitions. If you share our commitment to innovation, excellence and positive global impact, we warmly encourage you to apply. Global executive search firm Perrett Laver has been appointed to support the University in this appointment and would be delighted to speak with any interested individuals and welcome all exploratory discussions. If you would like to discuss this opportunity further or have any questions about the role, please contact Devin Dattan at Devin.Dattan@perrettlaver.com. To download the recruitment pack or apply online, please visit https://plusportal.perrettlaver.com/ quoting reference 8313.

Role Overview As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research capabilities that translate directly into real-world deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The SIT Centre for Intelligent Robotics (CIR) is a strategic capability centre under RoboPrecinct@Punggol Digital District (PDD), responsible for developing and sustaining the simulation, digital twin, and embodied AI foundations required for precinct-level deployment of robotic systems. We are seeking a Robotics Simulation Engineer to support the Centre’s robotics and embodied AI initiatives. This role focuses on the design, implementation, and maintenance of multi-platform robotics simulation environments, supporting research, development, testing, and Sim2Real transfer of robotic systems. The successful candidate will work across NVIDIA Isaac Sim, Gazebo, MuJoCo, and related simulation platforms, enabling scalable experimentation and robust system-level evaluation prior to real-world deployment. Key Responsibilities Develop, configure, and maintain robotics simulation environments across multiple platforms, including NVIDIA Isaac Sim, Gazebo, MuJoCo, and other relevant simulators for different applications and robotics platform Design modular and reusable simulation assets for robots, environments, sensors, and physics configurations. Integrate robotic platforms into simulation, including URDF/SDF workflows, articulation setup, and validation of kinematics and dynamics. Configure and tune physics simulation parameters (contacts, friction, joint limits, control rates, solver settings) to ensure realistic robot behaviour. Develop and maintain sensor simulation pipelines (RGB, depth, RGB-D, LiDAR, IMU) for perception and learning-based robotics. Support simulation-to-real (Sim2Real) workflows, including domain randomization, sensor noise modelling, and reality-gap mitigation. Integrate simulations with ROS / ROS 2 for closed-loop robot control, testing, and benchmarking. Automate simulation setup, execution, and experiment management using Python and C++, supporting batch experiments and data collection. Support system-level experimentation, benchmarking, and iterative improvement of embodied AI and robotic applications. Prepare technical documentation, simulation guidelines, and reusable templates to support knowledge transfer and long-term maintainability. Provide mentorship to undergraduate students in projects. Carry out risk assessment, and ensure compliance with Work, Safety and Health Regulations. Prepare technical documentation, reports, and implementation guides to support knowledge transfer and long-term maintainability. Contribute to publications and technical notes to disseminate research outcomes. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related discipline. Hands-on experience with at least two robotics simulation platforms, such as NVIDIA Isaac Sim, Gazebo, or MuJoCo. Practical experience working with URDF and/or SDF robot models and simulation integration. Working knowledge of robotics physics and dynamics, including articulated systems. Experience integrating simulation environments with ROS or ROS 2. Proficiency in Python, with working knowledge of C++ for simulation or robotics software development. Minimum 2 years of experience in robotics simulation, robotics research, or industry-based robotics projects. Preferred Skillsets (Advantageous) Experience with USD-based workflows and Omniverse-based simulation environments. Familiarity with PhysX and/or other physics engines used in robotics simulation. Experience supporting Sim2Real pipelines for real-robot deployment. Exposure to reinforcement learning, imitation learning, or learning-based control in simulation. Experience working with mobile manipulators, humanoid robots, or legged robots. Familiarity with GPU-accelerated simulation, performance optimisation, and Linux-based systems.

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/