Universidad de Concepcion

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently seeking a/an University Assistant postdoctoral 50 Faculty of Life Sciences Startdate: 01.03.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 28.02.2029 Reference no.: 4185 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: A position for a postdoctoral researcher is available at the Department of Pharmaceutical Sciences. The candidate should have extensive knowledge in the field of medicinal chemistry or chemical biology with relevance to applications in pharmaceutical sciences in order to support the research group in the field of synthetic organic chemistry. The Molecular Drug Targeting (MDT) Lab is seeking a highly motivated postdoctoral researcher with a strong background in synthetic organic chemistry, ideally complemented by experience in medicinal chemistry or chemical biology. The position focuses on functional conjugation chemistry, including protein conjugation, lipid coupling, and the development of tailored molecular probes. You will work extensively with analytical techniques such as NMR and MS and contribute to our fragment-based drug design efforts, integrating structural, thermodynamic, and biophysical insights directly into your synthetic strategy. The lab offers equipment for parallel synthesis, and you will also engage with chemical and biological databases as part of compound design and evaluation. A willingness to learn NMR spectroscopy and basic biophysical methods is expected to characterize protein ligand complexes, as these techniques are central to our integrated discovery pipeline. Experience with LYTACs or targeted degradation approaches is considered an advantage. The successful candidate will work with a high degree of personal responsibility, contribute to a safe and well-organized laboratory environment, and help guide and supervise students. Strong teamwork skills, enjoyment in working closely with people across disciplines, and a commitment to maintaining high safety and quality standards in the lab are essential. The MDT Lab provides a dynamic interdisciplinary environment at the interface of chemistry, immunology, and drug delivery, with many opportunities for scientific growth and collaboration. Your future tasks: Active participation in research, teaching & administration, which means: You will work extensively with analytical techniques such as NMR and MS and contribute to our fragment-based drug design efforts, integrating structural, thermodynamic, and biophysical insights directly into your synthetic strategy.  You will also engage with chemical and biological databases as part of compound design and evaluation. Cacterize protein ligand complexes You participate in evaluation measures and in quality assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies - Excellent knowledge of synthetic organic chemistry in the field of medicinal chemistry and/or chemical biology. They are well-suited to an international and multidisciplinary research environment. Good project and time management skills, as well as meticulous documentation of work, are expected. Demonstrated research competence and initiative through international publications in peer-relevant media Didactic skills / experience in e-learning - IT skills (MS Office, FlowJo) Excellent knowledge of English (C1) written and spoken  Team player and high social/communicative skills  What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the center of beautiful Vienna 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. Fixed-term contract and fair salary: The basic salary of EUR 4,932,90 (14 times a year) for a period of 3 years. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree Contact details of persons who could provide reference letters Via our job portal / Apply now - button If you have any questions, please contact: Christoph Johannes Heinrich Rademacher christoph.rademacher@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: 01/04/2026 (MM-DD-YYYY) Post Doc

The Hong Kong University of Science and Technology (Guangzhou) (HKUST (GZ)) About HKUST (GZ) With innovation in its DNA, The Hong Kong University of Science and Technology (Guangzhou) is a high-level research university featured by cross-disciplinary education. The University strives to become a world-class university with Chinese characteristics. HKUST(GZ) is located in Qingsheng, Nansha, Guangzhou, the geometric center of the Guangdong-Hong Kong-Macao Greater Bay Area in China. Currently, the University’s student body is around 4,000, encompassing both undergraduate and postgraduate students. The University is also a magnet for around 400 accomplished faculty and researchers. The campus development is divided into two phases. Phase-I (636,000 square meters) opened in September 2022, while Phase-II (730,000 square meters) has commenced construction in 2025 and will be delivered in phases starting from 2027. Phase-II will feature more advanced facilities, providing an exceptional environment for research, learning and residential life. HKUST(GZ) introduces a groundbreaking “Hub-Thrust” academic structure, which facilitates cross-disciplinary education. The University currently has four Hubs (Function, Information, Systems and Society) and 16 Thrusts. Here English is the medium of instruction and undergraduate programs are carefully articulated with postgraduate studies. The University boasts cutting-edge research facilities tailored to meet the needs of our investigating scientists in various disciplines. Actively aligning with the Greater Bay Area’s development and national strategic priorities of China, the University cultivates innovative talent, advances cutting-edge technologies, and seeks solutions to humanity’s major challenges.  Under the “Unified HKUST, Complementary Campuses” framework, HKUST(GZ) and HKUST achieve synergistic growth, delivering sustained impetus to the development of the Greater Bay Area, China and the world. Responsibilities Reporting to the President, the Vice-President for Teaching and Learning (VPTL) will provide strategic leadership in advancing future-ready teaching and learning initiatives at the University.  The VPTL will oversee the development and implementation of the UG common core curriculum, fundamental courses, and Redbird MPhil Program, ensuring quality in teaching and learning activities while enhancing students' educational experiences. As a key member of the Senior Management Team, the VPTL will collaborate with the President, other Vice Presidents, Deans, Academic Registrar, and relevant units to establish and implement protocols and policies that ensure the effective delivery of teaching and learning. In alignment with the "Unified HKUST, Complementary Campuses" framework, the VPTL will coordinate teaching and learning activities and academic support with the Clearwater Bay campus.  The VPTL is responsible for the following areas, including but not limited to: Lead the development and execution of the University’s strategies for teaching and learning, fostering a culture of excellence. Provide leadership and management to the College of Education Sciences (CES), College of Future Technology (CFT) and Institute of Education Innovation and Practice (IEIP) in shaping innovative learning and teaching approaches, including strategically leading the Red Bird MPhil Program, promoting and implementing our signature inquiry-based cross-disciplinary active learning model; as well as overseeing curriculum development and quality enhancement, and ensuring relevance to global perspectives and industry needs. Develop and implement strategies to recruit, develop, and retain high-quality faculty members for CES and CFT. Promote the implementation of blended, digital and AI-enhanced education offerings to provide students with flexible and individualized learning options. Cultivate an environment that promotes innovation and excellence in teaching and learning and best practice sharing. Develop a clear framework for managing educational performance to ensure our standards meet those expected of a world-class university.  Lead the formulation of policies concerning teaching and learning.  Facilitate the implementation and optimization of a professional development plan for members engaged in university-wide teaching and related training activities. Integrate and allocate teaching resources by assessing and identifying the resources needed to uphold our mission of teaching and learning. Foster integrity, quality, creativity, communication, and innovation across all teaching and learning related responsibilities. Develop annual budgets and manage financial resources in the supervised areas. Requirements: The VPTL is expected to be an experienced, dedicated, and visionary educator with international background and extensive experience in higher education teaching management and exceptional leadership skills, together with energy, passion, and unwavering commitment to promoting teaching innovation and interdisciplinary education and enhancing the quality of higher education.  The ideal candidate should be able to see the big picture, be knowledgeable about pedagogy, teaching methods, curriculum development, and quality assurance, and be open-minded to technology and innovation, with international and forward-thinking vision, strong drive, and excellent execution skills to develop and implement innovative solutions that promote teaching effectiveness and quality. The ideal candidate should possess a research background to support the integration of academic research and teaching, along with a deep knowledge of education system of both Chinese mainland and Hong Kong, demonstrating outstanding leadership and management abilities in inspiring faculty to pursue excellence in teaching, as well as possessing excellent communication skills to develop partnerships with other higher education institutions, government agencies, and industries. Remuneration and Conditions of Service The post of VPTL is a full-time appointment, normally for an initial term of 4 years, and renewable subject to mutual agreement. Competitive remuneration of international standard and generous fringe benefits, including medical and housing, will be provided. Nomination, Expression of Interest and Applications Nomination, expressions of interest and applications should be directed to Odgers via email at HKUSTGZ-VPTL@odgers.com in confidence. Review of nominations and applications will begin now, and will continue until the post is filled. ODGERS Suite 602, The Chinese Bank Building 61-65 Des Voeux Road Central, Central, Hong Kong

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.