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University of Puget Sound

Tacoma, United States
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About the University of Puget Sound

Basic information and contact details for the University of Puget Sound

The University of Puget Sound is a liberal arts college based in the town of Tacoma, Washington state. The university was founded in 1888 as a Methodist institution, although is no longer affiliated to any religion.

Academic study at Puget Sound combines traditional and interdisciplinary study in the areas of arts, humanities, natural and social sciences, totalling 1200 classes in 50 areas of study. The School of Music is rated at conservatory grade, and graduates regularly go on to study at some of the most distinguished music courses in the US. Studying abroad is also a popular option at Puget Sound, with over 40 per cent of students taking the opportunity to take semesters or years overseas at forty available locations ranging from Argentina to Vietnam.

Puget Sound is also home to a wide range of media publications, and a student run radio station at KUPS 90.1FM, known as The Sound. Wetlands is a magazine dedicated to ideas of sexual expression and gender identity, and first published in 1968 is Black Ice, a magazine for students of colour.

Athletics teams at Puget Sound are known as the Loggers, and compete in the NCAA Division III. Baker Stadium is a multi-sports facility at Puget Sound, hosting home football, soccer, track and field, cross country, and lacrosse matches, and can seat up to 4,500 spectators.

Esteemed alumni of Puget Sound include governor of Alaska Sean Parnell, creator of computer game SkiFree Chris Pirih, actress Darby Stanchfield, and star of the Batman TV series, Adam West. The university motto translates from Greek as ‘to the heights’.

A hatchet discovered in 1908 during excavation work at Puget Sound has become a symbol of the university. This discovery led to over a century of competition between classes, colloquially referred to as "hatchet-running". Each class that stole the hatchet would elaborately carve their graduation year into the handle or the blade, until the next class managed to steal it. 

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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

7 May 2026

University Assistant Predoc at the Department of Communication

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

Austria, Vienna Danubepier Hov


The University of Vienna is a cosmopolitan hub for more than 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for an University Assistant Predoc at the Department of Communication 49 Faculty of Social Sciences Startdate: 01.06.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.05.2030 Reference no.: 5491 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,700 academic staff members so far. They see themselves as personalities who need space for continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions. Your personal sphere of influence The University of Vienna Research Platform ‘Trustworthy Science Communication’ announces a PhD position  at the Department of Communication.  Members of the research platform will conduct science communication research with a specific focus on the question of trust in science. This research will be interdisciplinary, and led by researchers in Communication Science, Computer Science, Psychology, and Science and Technology Studies. Together, we will examine public trust in science through cutting-edge research on science communication. Our research will be built on the understanding that public trust in science is complex, shaped by perceptions of trustworthiness, communication practices, and shifting social and political contexts. Trust cannot be assumed or manufactured; it must be earned through consistent integrity, transparency, and responsiveness. Because political developments, media narratives, and societal change continually challenge the relationship between science and the public, trust must be actively maintained. Addressing this challenge requires an interdisciplinary approach, as trust in science is conceptualized differently across fields. By integrating these perspectives, this platform aims to advance research on the foundations and practice of trustworthy science communication. Applicants should be able to demonstrate interest in or experience with public science communication, the capacity to carry out interdisciplinary research, and the research skills necessary to complete a PhD. The successful candidate for this position will be employed by the University of Vienna and their research project will be supervised by an interdisciplinary supervisory team from the University of Vienna. The position is advertised to the extent of 30 hours/week (75%) for a period of four years. The anticipated start date is in June 2026. Your future tasks You actively participate in research, teaching & administration, which means: Conduct science communication research focusing on how mediated communication and public discourse shape trust in science; we in particular aim to examine the political dimensions of science communication, including how political actors use scientific knowledge to legitimize ideas and how science communication is entangled with broader information challenges such as mis- and disinformation and societal polarization. We expect you to join the Vienna Doctoral School of Social Sciences and conclude a doctoral thesis agreement within 12 months. You work on your dissertation and its completion. You hold courses and examinations independently and (co-)supervise students within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching.  You become an active team member of the Research Platform "Trustworthy Science Communication and the Department of Communication, a subunit of the Faculty of Social Sciences. This is part of your personality Strong interest in interdisciplinary research at the intersection of science communication and their original field of study. Ability to work independently and as part of a research team in a collaborative environment. Proven ability to manage complex projects, prioritize tasks, and meet deadlines. Excellent verbal communication skills for interdisciplinary collaboration and presenting research findings. Excellent English skills, both written and spoken. In addition, the following specific requirements apply to the position advertised here Relevant Master’s degree (e.g. Communication Science, Political Science, Political Communication, or related disciplines)  Knowledge of quantitative social science research methods, e.g., surveys, experimental designs, content analysis, computational social science methods Knowledge of statistical data analysis (e.g., R, Stata, SPSS), and/or other programming skills (e.g., Python) Interest in open science principles  What we offer Work-life balanceWe offer the opportunity to work remote upon agreement (maximum of 50% of working time). Inspiring working atmosphere An internationally-oriented team and department with outstanding research infrastructure and comfortable working environment. Appreciative team culture As a team, we regularly meet for exchange during team meetings and a range of team activities (team lunch, team retreat, Christmas party, etc.). Excellent public transport connections We offer an attractive workplace in the heart of Vienna which is easily accessible by public transport. Internal further training & coaching The University of Vienna offers a wide range of opportunities for internal training as well as enhancement of personal skills. Fixed-term contract and fair salary: The basic monthly gross salary of EUR € 3.776,10 (on a full-time basis) in salary group B1 will be paid 14 times a year for a period of four years (i.e., the duration of the contract). The basic salary increases if we can credit prior professional experience. The employment duration is four years. Initially limited to 1.5 years, the employment relationship is automatically extended to four years if the employer does not terminate it within the first twelve months by submitting a non-extension declaration. It is that easy to apply With a letter of motivation that describes your previous research achievements, your research goals, your career plans, and your reasons for applying; With a complete CV, including a list of previous scientific expertise, awards, grants, stays abroad, attended lectures, attended summer schools, attended workshops, skills, and publications (if applicable); With an abstract in English of your MA/MSc thesis, BA/BSc thesis, or of a research project you were involved in; With a 1-page research pitch describing an idea for a PhD dissertation within the field of political communication research, which would fit within the research focus of the “Trustworthy Science Communication” research platform; With a complete list of finalised studies and transcripts of all grades; With 1-2 names of academic references and their contact addresses (e.g., your Master’s thesis supervisor); With any other material you think is relevant Via our job portal / Apply now - button. If you have any content questions, please contact: Sophie Lecheler sophie.lecheler@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 05/14/2026

Salary

€3.776,10 (on a full-time basis)

Posted

7 May 2026

University Assistant Predoctoral - Research Platform 'Trustworthy Science Communication'

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

Austria, Vienna Danubepier Hov


The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral - Research Platform 'Trustworthy Science Communication' 39 Faculty of Computer Science Startdate: 01.06.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5466 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The University of Vienna Research Platform ‘Trustworthy Science Communication’ announces a PhD position at the Faculty of Computer Science, Research Group Visualization and Data Analysis. Members of the research platform will conduct science communication research with a specific focus on the question of trust in science. This research will be interdisciplinary and led by researchers in Communication Science, Computer Science, Psychology, and Science and Technology Studies. Together, we will examine public trust in science through cutting-edge research on science communication. Our research will be built on the understanding that public trust in science is complex, shaped by perceptions of trustworthiness, communication practices, and shifting social and political contexts. Trust cannot be assumed or manufactured; it must be earned through consistent integrity, transparency, and responsiveness. Because political developments, media narratives, and societal change continually challenge the relationship between science and the public, trust must be actively maintained. Addressing this challenge requires an interdisciplinary approach, as trust in science is conceptualized differently across fields. By integrating these perspectives, this platform aims to advance research on the foundations and practice of trustworthy science communication. We invite applications for PhD projects located in and beyond each of the participating disciplines. All PhD candidates will work with an interdisciplinary supervision team and may join one of the doctoral schools at the University of Vienna. Applicants should be able to demonstrate interest in or experience with public science communication, the capacity to carry out interdisciplinary research, and the research skills necessary to complete a PhD. Further details of each position are provided below. The successful candidate for this position will be employed by the Faculty of Computer Science and their research project will be supervised by an interdisciplinary supervisory team from the University of Vienna. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. Your future tasks: You actively participate in research, teaching & administration, which means: Conduct science communication research focusing on trust and trustworthiness in digital and data-driven environments, particularly in relation to data visualizations. Design and implement empirical studies to examine how scientific information is interpreted and trusted, with special attention to data literacy and its role in strengthening citizen agency. We expect you to join the Vienna Doctoral School of Computer Science and conclude a doctoral thesis agreement within 12 months. You work on your dissertation and its completion. You hold courses and examinations independently and (co-)supervise students within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching. You become an active team member of the Research Platform "Trustworthy Science Communication" and the Research Group Visualization and Data Analysis, a subunit of the Faculty of Computer Science. This is part of your personality: All candidates in the Research Platform are expected to have the following qualifications as part of their profile: Strong interest in interdisciplinary research at the intersection of science communication and their original field of study Ability to work independently and as part of a research team in a collaborative environment. Proven ability to manage complex projects, prioritize tasks, and meet deadlines. Excellent verbal communication skills for interdisciplinary collaboration and presenting research findings. Excellent English skills, both written and spoken. In addition, the following specific requirements apply to the position advertised here: Relevant Master’s degree (e.g., Computer Science, Data Science, Digital Humanities, or related disciplines) Knowledge of quantitative and qualitative research methods, e.g., survey design, interviews, ethnography, or mixed-methods approaches Knowledge of statistical data analysis (e.g., R, Stata, SPSS), and/or other programming skills (e.g., survey scripting) Strong interest in questions of trust and trustworthiness, AI and society, and science communication in digital environments Interest in open science principles Experience with academic writing and familiarity with publishing processes What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With a letter of motivation that describes your previous research achievements, your research goals, your career plans, and your reasons for applying; With a complete CV, including a list of previous scientific expertise, awards, grants, stays abroad, attended lectures, attended summer schools, attended workshops, skills, and publications (if applicable); With an abstract in English of your MA/MSc thesis, BA/BSc thesis, or of a research project you were involved in; With a 1-page research pitch describing an idea for a PhD dissertation within the field of data-driven science communication research, which would fit within the research focus of the “Trustworthy Science Communication” research platform; With a complete list of finalised studies and transcripts of all grades; With 1-2 names of academic references and their contact addresses (e.g., your Master’s thesis supervisor); With any other material you think is relevant Via our job portal / Apply now -  button. If you have any questions, please contact: Torsten Möller torsten.moeller@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 05/14/2026 Prae Doc

Salary

The basic salary of EUR 3.776,10 (on a full-time basis)

Posted

7 May 2026

Robotics Engineer (Simulation for Embodied AI) - LYB2

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, 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.

Salary

Competitive

Posted

7 May 2026

Assistant Professor / Lecturer Chinese Studies

MAYNOOTH UNIVERSITY

Maynooth University

Ireland, Maynooth

institution

Maynooth University

Ireland, Maynooth


Department: Modern Languages, Literatures & Cultures Vacancy ID: 041443 Closing Date: 03-Jun-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an excellent academic to join our staff as a temporary Assistant Professor in Chinese Studies for an anticipated three-year period. The person appointed will have a proven record of teaching, research and publication, appropriate to career stage. He/she/they will be expected to make a strong contribution to the teaching programme of the Chinese Studies section and the School and undertake teaching duties on undergraduate and postgraduate programmes as well as the supervision of undergraduate and postgraduate students. Salary: Assistant Professor/Lecturer: €65,401– €103,564 p.a. (7 points) Assistant Lecturer: €42,599– €72,718 p.a. (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Wednesday, the 3rd of June 2026. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Salary

€42,599 – €103,564 p.a.

Posted

6 May 2026

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