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Carleton College

Northfield, United States
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Robotics Engineer (Embodied AI Applications) - LYB3

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Role Overview 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 SIT Centre for Intelligent Robotics is a strategic capability centre under RoboPrecinct@Punggol Digital District (PDD), responsible for developing and maintaining the core applied robotics and embodied AI capabilities required for precinct-level deployment of robotic systems. The centre is seeking a Robotics Engineer. This role is application-driven and system-oriented, focusing on the implementation, adaptation, and evaluation of state-of-the-art robotics algorithms on real robotic platforms. The successful candidate will work closely with physical robots and simulation environments to translate recent advances in learning-based robotics into robust, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods for robotic perception, decision-making, navigation, and manipulation. Apply reinforcement learning, imitation learning, and other skill learning frameworks to practical robotic applications. Integrate learning-based robot skills with full robot software stacks in ROS / ROS 2 environments. Develop and maintain perception and state representation pipelines using RGB-D and 3D sensing. Conduct simulation-to-real (Sim2Real) workflows, including data collection, model training, deployment, and testing on physical robots. Support system-level experimentation, benchmarking, and iterative improvement of embodied AI applications. 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 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 field. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Working knowledge of reinforcement learning, imitation learning, or learning-based control concepts. Familiarity with robotics simulation tools such as Gazebo, Isaac Lab, or MuJoCo. Practical experience with ROS or ROS 2 for real-robot software integration. Proficiency in Python and C++, with experience developing and maintaining production-level code. At least 2 years of experience in robotics research or industry projects. Preferred Skillsets (Advantageous) Experience working with mobile manipulators, humanoid robots, or quadruped robots. Exposure to motion planning, control frameworks, or whole-body control systems. Experience with real-world robot experimentation and deployment. Experience with embodied AI and robot manipulation benchmarking platforms such as LIBERO, ManiSkill, or RLBench is highly desirable. Knowledge of GPU architectures, GPU cloud computing services, and strong familiarity with Linux operating systems. Knowledge of BIM, universal scene description and scene composition Knowledge of physics and simulation parameters, as well as sensor simulation pipeline.

Salary

Competitive

Posted

5 Mar 2026

Senior HR Change Manager

UNIVERSITY OF SOUTHAMPTON

University of Southampton

United Kingdom, Southampton

institution

University of Southampton

United Kingdom, Southampton


The University of Southampton is a leading research-intensive University, a founding member of the prestigious Russell Group, and sits within the top 1% of universities worldwide. Our people are our university: they are at the heart of everything we do and the impact we make on a local to global scale. With greater diversity and inclusivity to reflect society, we enable our education, research and enterprise to transform the communities we serve. Diversity is a strength; it makes us more creative and accelerates our impact on society. The role The Senior HR Change Manager will lead, from a people‑centred perspective, the strategic design, planning and delivery of a significant organisational change project across the faculty. Providing expert support, coaching and constructive challenge to ensure the people and organisational implications of major change programmes are fully understood. Through proactive guidance, influence and partnership working, you will shape and deliver effective solutions that strengthen our culture, enable high performance, and support the University to achieve its strategic ambitions. About you You will bring extensive experience leading large-scale complex change, organisational design, TUPE consultation, and transformation initiatives. You will be confident managing end-to-end projects and applying employment legislation including TUPE in a complex and fast paced environment. Strong stakeholder engagement, communication, and relationship-building skills are essential to support a consistent and effective approach to people-related elements of major change.  As the successful candidate you will share our values. Our values | University Strategy | University of Southampton What we can offer you As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. We welcome applications from candidates who are committed to helping us create an inclusive work environment.  Based at our lively Highfield campus, you will have access to our sports complex, and lots of social and green spaces. Committed to supporting our staff, we are open to a flexible working approach with a mix of home and office working. We consider applicants that wish to work flexibly and those who have taken a career break. As well as additional benefits that will make your life easier, such as a generous holiday allowance (44 days including bank holidays and closure days), we will support your long-term future too, with access to the Universities Superannuation Scheme (USS)*, subsidised health and fitness facilities and a range of discounts. All our benefits can be viewed here To apply, please complete an online application and attach your CV and a cover letter (no more than 500 words) detailing how your skills and experience match the skills required for the role. Please note that interviews are expected to take place on Wednesday 25 March and Thursday 26 March.

Salary

£46,049 to £58,225 per annum

Posted

5 Mar 2026

Research Fellow / Engineer (Seaweed Hydrolysates) - DJ2

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


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 the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.• 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 food pilot plant 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 purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences. 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 protein chemistry, analytical chemistry for amino acid profiling, polyphenol profile analysis, SDS-PAGE, and protein hydrolysis. Have a degree in Food Science and Technology, or Analytical Chemistry. Possessing a Master's or PhD degree will be advantageous Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol identification. Previous experience as lab-in-charge or equipment-in-charge will be advantageous. Able to communicate with industrial collaborators to share key findings, seek supports, or conducting commercial trials. 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.

Salary

Competitive

Posted

5 Mar 2026

Research Fellow in Quantum Omics

UNIVERSITY OF MELBOURNE

The University of Melbourne

Australia

institution

The University of Melbourne

Australia


Role type:Full Time, Fixed Term for 2 years Faculty: Faculty of ScienceDepartment: School of Mathematics and Statistics Salary: Academic Level A.6 - $110.319 p.a. plus 17% super Lead innovative research, bridge quantum computing and omics and shape future of data analysisApply now to advance the frontier of quantum biotechnology and integrative omics analysisInvesting in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of MelbourneWe take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunityAs a Postdoctoral Research Fellow in the L Cao lab, you'll spearhead method development at the exciting intersection of quantum computing and integrative omics. You'll have the opportunity to design, evaluate, and benchmark quantum-inspired computational approaches for analysing high-dimensional biological datasets. Working within the ARC Centre of Excellence in Quantum Biotechnologies (QUBIC), you'll contribute to groundbreaking research, collaborate with leading experts, and shape a new direction in quantum-omics integration. Your responsibilities will include: Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi-omics integration.Produce High-Impact Outputs: Deliver internationally competitive research through publications, conference presentations, and reproducible software.Foster Collaborations: Work closely with lab members and external partners to translate methodological advances into applied analyses and usable tools.Support Research Training: Co-supervise PhD and masters students, providing guidance on research design, analysis, and scientific communication.You may be a great fit if: You are a highly motivated researcher with a PhD in a relevant field, demonstrating expertise in both omics data analysis and quantum computing methods, with a passion for developing innovative computational approaches to solve complex biological problems. You may also: Have a PhD in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline.Demonstrate research capability in methods development relevant to quantum computing and omics.Possess experience in analysing high-dimensional biological data and applying quantum computing methods to data analysis.Have an active GitHub profile evidencing ongoing code development and contributions.For further information, please refer to the attached PD.What we offer youWe offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "L Cao lab, Melbourne Integrative Genomics (MIG)"https://sites.research.unimelb.edu.au/integrative-genomics| https://lecao-lab.science.unimelb.edu.auL Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to omics profiling data to help understand genotype-to-phenotype process in humans and other organisms. MIG includes 50+ members, and provides a wide range of opportunities for exciting research collaborations. The Parkville precinct has the greatest concentration of biological and medical research in Australia, and is among the greatest internationally.http://www.ms.unimelb.edu.auThe University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.Be YourselfThe University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We believe the diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.We're committed to a barrier-free recruitment process and ongoing workplace support, providing reasonable adjustments throughout. We warmly encourage applications from people with disabilities. For assistance, please contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Contact details for other enquiries are located at the bottom of this page. Find more information for applicants requiring reasonable adjustments. Aboriginal and Torres Strait Islander ApplicantsWe aspire to be the University of choice for Indigenous Australians. Our Indigenous strategy, Murmuk Djerring outlines our investment and support for Aboriginal and Torres Strait Islander staff and students.Indigenous applicants are encouraged to connect with "Korin-Korin" our Indigenous Employment & Development team at oied-hr@unimelb.edu.au for further information and support. Please note: Visa sponsorship is available for this position. A Working with Children Check (WWCC) is required for all positions. If successful, we'll guide you through the WWCC application process during onboarding and reimburse the cost. Join Us and unlock your career potentialIf this role is right for you, please apply with the following documents: Resume Cover Letter outlining your interest and experience The responses against the following Selection Criteria^1. PhD (or equivalent) in statistics, computational biology, bioinformatics, computer science, quantum computing, or a closely related discipline.2. Demonstrated research capability in methods development relevant to quantum computing and omics, evidenced through PhD work and associated outputs (for example publications, preprints, software, or technical reports), relative to opportunity.3. Demonstrated experience in analysing high-dimensional biological data, including appropriate preprocessing, quality control, and interpretation of results.4. Demonstrated experience applying or developing quantum computing methods relevant to data analysis (use of simulators acceptable), with clear understanding of limitations and appropriate evaluation.5. Demonstrated experience in version control on Github and an active GitHub profile evidencing ongoing code development and/or contributions Learn more about the application process, including tips and FAQs. For recruitment queries, email Anna at hr-careers@unimelb.edu.au. Include the Position Number and Job Title in the subject line. Please do not send applications to this email address. For job-specific queries, refer to the contact details in the Position Description. Applications close: 6 April 2026. 11:55 PM; Melbourne time zone. Position Description: JR-009383 Research Fellow Quantum Omics_PD.doc.docxJR-009383 Research Fellow Quantum Omics_PD.doc.pdf

Salary

plus 17% super

Posted

5 Mar 2026

Research Engineer (Applied Control & Autonomy - Drone Swarms & Security) - WLB1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Location: SIT Punggol Campus Job Type: Contract Experience Level: 3+ years relevant experience (preferred) About Us: Autonomous Systems Advanced Intelligence Laboratory (ASAIL) is at the forefront of developing next-generation unmanned aerial capabilities for the public safety sector. We are bridging the gap between commercial drone hardware and the demanding requirements of law enforcement and security operations. Our mission is to enhance the safety and effectiveness of personnel through intelligent, resilient, and autonomous aerial systems. We are currently seeking a highly motivated Research Engineer to lead the applied research and development of advanced control augmentation techniques for Commercial Off-The-Shelf (COTS) drones. This role focuses on pushing the limits of COTS hardware by integrating sophisticated software and edge computing solutions. The Role: As our Research Engineer, you will be responsible for the end-to-end development of augmentation software, from theoretical design and simulation to real-world proof-of-concept demonstrations. You will work on a portfolio of critical enhancements, including advanced navigation algorithms, swarm intelligence, cyber security hardening, and payload-specific control systems. Key Responsibilities: Control Augmentation Development: Design, implement, and tune advanced control augmentation techniques (e.g., model predictive control, adaptive control) to enhance the stability and agility of COTS drones under dynamic conditions. Swarm Intelligence: Develop and test decentralized swarm algorithms for coordinated area search, target tracking, and collaborative task allocation without reliance on constant ground control intervention. Cyber Security Enhancement: Research and implement mitigation strategies against common attack vectors on COTS platforms, including GPS spoofing, communication jamming, and protocol vulnerabilities. Develop hardened communication layers between the drone, edge device, and ground station. Payload-Specific Control: Integrate and tune control systems for mission-specific payloads (e.g., gimbaled cameras, spotlights, delivery mechanisms) to ensure stable operation and precise control during flight. Edge Computing Implementation: Architect and deploy machine learning and computer vision models directly onto onboard edge devices (e.g., NVIDIA Jetson) for real-time object detection, tracking, and autonomous decision-making. Proof-of-Concept Demonstration: Lead the integration of software onto physical drone platforms, conduct rigorous flight testing, and execute live demonstrations to validate performance against operational requirements. Documentation & Dissemination: Document research findings, software architectures, and test results. Prepare reports and presentations for internal and external stakeholders. Required Qualifications & Expertise: Education: Honor’s degree (Master’s and Ph.D. preferred) in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, or a related field. Control Theory: Strong theoretical and practical background in control systems, including PID, LQR, MPC, or adaptive control. Robotics Software: Extensive experience with the Robot Operating System (ROS/ROS 2). Programming: High proficiency in C++ and Python for real-time robotic applications. Simulation: Experience with realistic simulation environments such as Gazebo, AirSim, or Unreal Engine. Edge Computing: Proven experience deploying algorithms on resource-constrained edge devices for real-time inference and control. Drone Platforms: Hands-on experience with commercial autopilots (PX4, ArduPilot) and integrating software with COTS frames (DJI, Holybro, etc.) via companion computers. Swarm Robotics: Familiarity with consensus algorithms, formation control, and communication protocols for multi-agent systems. Security: Understanding of wireless communication protocols (Wi-Fi, 4G/5G, MAVLink) and common cybersecurity vulnerabilities in drone systems. Preferred Skills (Bonus): Experience in law enforcement, defense, or public safety technology projects. Knowledge of computer vision techniques for object detection and tracking (YOLO, OpenCV). Experience with RF signal analysis or spectrum monitoring.

Salary

Competitive

Posted

5 Mar 2026

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