University of Basel

Department: School of Celtic Studies Vacancy ID; 040824 Closing Date: 16-Apr-2026Maynooth 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 experienced postdoctoral researcher for the research project DiAgnostic – Tracing Diatopic Variation in a Corpus of Old Irish. This project is conducted with the financial support of an Advanced Laureate Award from Taighde Éireann – Research Ireland under Grant number IRCLA/2023/ 2124 and is led by Professor David Stifter. DiAgnostic aims at making methodological progress in trying to answer the question if the Early Irish language, especially in its Old Irish form, showed regional diversi­fication, i.e. dialects. We expect to make a significant contribution to the de­scription and the under­stand­ing of the development of the Early Irish language and of its socio­his­to­rical context, including implica­tions for its prehistory. Work is carried out primarily within the discipline of historical linguistics with a strong em­phasis on methods of digital humanities, but other aspects of linguistics such as syntactic theory, sociolinguistics, and the philology of Early Irish texts play a role as well. The position of the postdoctoral researcher will involve adding data to the project database Corpus PalaeoHibernicum (CorPH), in particular with regard to filling gaps among the major contemporaneous sources of Old Irish, as well as assisting in and contributing to other project deliverables.  Salary: Post Doctoral Researcher (2026): €46,805 p.a. pro-rata (Point 1) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Thursday 16th April 2026. Applications must be submitted by the closing date and time specified above. 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

As one of Europe’s leading research universities, Ludwig-Maximilians-Universität (LMU) in Munich is committed to the highest international standards of excellence in research and teaching. Building on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences. The Faculty of Languages and Literatures invites applications for a Professorship (W2) (6 years/tenure track)  of Comparative Literature and Literary Theory commencing as soon as possible. The applicant’s work in the field of Comparative Literature must be indicative of philological expertise in at least two different languages. Research interests in literary theory and/or aesthetics as well as literary multilingualism are required. A focus on English-language literature is also desirable. LMU Munich seeks to appoint a highly qualified junior academic to this professorship and, therefore, especially encourages early-career scholars to apply. Prerequisites for this position are a university degree and a doctoral degree or a comparable specific qualification, preferably in Comparative Literature. With an excellent record in research and teaching to date, prospective candidates will have demonstrated the potential for an outstanding academic career. The initial appointment will be for six years. After a minimum of three years, it can be converted into a permanent position pending a positive evaluation of the candidate’s performance in research and teaching as well as his or her personal aptitude and if all legal conditions are met. Under the terms of the LMU Academic Career Program“, in exceptional cases and subject to outstanding performance in research and teaching, the position may be converted from a W2 into a W3 Full Professorship at a later date. LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples. LMU Munich is an equal opportunity employer. The University continues to be very successful in increasing the number of female faculty members and strongly encourages applications from female candidates. LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with essentially equal qualifications will be given preference. Please submit your application comprising a curriculum vitae, documentation of academic degrees and certificates as well as a list of publications and teaching to the Dean of the Faculty of Languages and Literatures, Ludwig-Maximilians-Universität München (Geschwister-Scholl-Platz 1, D-80539 Munich, Germany), preferably via email in one single PDF-file to dekanat13@lmu.de, no later than 28 April 2026.

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.