The University of Chicago

We are seeking an enthusiastic individual with a veterinary degree and MRCVS for a part-time (0.5 FTE) Lecturer post to act as Learning Resources Lead. The successful applicant will join a team of fellow professionals within the School of Veterinary Medicine committed to providing excellence in teaching for the benefit of a new generation of vets.  The role will involve a range of responsibilities including: Delivery of high-quality, creative and evidence-based teaching activities, critically reviewing learning approaches, and implementing innovative assessment and pedagogical practices Creation and maintenance of engaging learning materials and digital teaching resources Coordination and quality assurance of teaching and student support provision while contributing to curriculum development and programme innovation Support of the School’s attendance monitoring processes through accurate record keeping, auditing of attendance data, and working closely with academic staff and students Engagement with pedagogical research and collaborative academic projects to ensure teaching practice remains current, relevant, and responsive to sector developments. Candidates will be appointed at Lecturer A or Lecturer B level depending on experience. For more information see the job profile below. The full time equivalent salary for this role ranges from £37,694 - £56,535 plus an additional 10% payment for continued RCVS membership. As this is a part time role, the pro rata 0.5 FTE salary (including 10% payment) ranges from £20,731 to £31,094 per annum. About you Our Lecturers play an important role in influencing the future of the veterinary profession. As such, you will have: A passion for veterinary medicine and a strong commitment to delivering excellent teaching.  Enthusiasm and a willingness to work flexibly and creatively in different contexts are essential, alongside excellent interpersonal and teamwork skills.  Experience of teaching in an educational or professional setting and development of teaching materials is desirable. What we can offer In return, we offer a generous salary with a 10% salary uplift for MRCVS registered applicants, CPD budget, pension, relocation assistance, access to world-class leisure facilities on campus, a range of travel schemes, and supportive family friendly benefits including an excellent on-site nursery. We are proud to support flexible working and are happy to consider applications from candidates interested in flexible working patterns. If you do not yet hold a teaching qualification, support will be provided to help you undertake this. Further Information To apply please submit a CV. You will also be asked to complete an application form to help us assess your suitability for the position. Informal enquiries about the role can be made to Chris Basu (c.basu@surrey.ac.uk) or Alison Prutton (a.prutton@surrey.ac.uk), BVMSci Programme Leads. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We value everyone in our community and are seeking to increase the diversity. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities. Induction Commitment We wish to create the conditions for success for our new starters in the Vet School, by facilitating their growth and development within our institution. All new starters who are on a local/Guildford contract are expected to be physically present on campus for 80% minimum of their working week during their initial four to six months of employment (the duration will vary depending on individual role). Further details Job Description

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral 47 Faculty of Psychology Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.06.2030 Reference no.: 5602 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! Job description: Your position is at the Department of Developmental and Educational Psychology. The position is assigned to the Research Unit “Developmental psychology” (Chair Prof. Dr. Stefanie Höhl). The group focuses primarily on aspects of social-cognitive development in early childhood and conducts research on topics such as the development of joint attention and social learning. Our methodological focus is on experimental and neuroscience research (e.g., eye tracking, EEG, fNIRS). We offer an excellent working environment including a fully equipped lab with cutting-edge technology, international collaborations and substantial support for early-career researchers. The candidate should have a strong interest in developmental cognitive neuroscience and its experimental methods, in particular EEG and or fNIRS and eye-tracking. Applicants should have experience conducting and analysing neuroscientific experiments with infants and children. The ideal candidate will have experience in the analysis of neurophysiological data from different age groups, in particular using frequency and/or time-frequency analyses. 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 non-extension declaration. Your future tasks: You actively participate in research, teaching & administration, which means: Participation in research projects Participation in publications and presentations Working on your dissertation and towards its completion in time Supervision of students Involvement in the organization of meetings, conferences, symposiums Involvement in project and research administration These are your skills: Magister/Master in Psychology/Neuroscience/Cognitive Biology or related disciplines Experimental research skills with human participants, ideally infants Programming skills (Matlab/Python/R) Advanced statistical analyses skills Excellent command of written and spoken English Ability to work in a team and excellent communication skills. Experience in recording and analysing neurophysiological data. Desirable qualifications are: German language skills 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 cooperative 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 your scientific curriculum vitae / letter of intent With your Scientific writing sample (in English)  List of publications (if applicable) Degree certificates Notification of completed Master's/Diploma studies (all together in one pdf file). Via our  job portal / Apply now - button If you have any content questions, please contact: Stefanie Höhl stefanie.hoehl@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: 06/10/2026 Prae Doc

Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to develop industry-relevant applied research skillsets while working on translational robotics and AI projects. The primary responsibility of this role is to support a joint SIT–DSO research project focused on evaluating and developing humanoid robot capabilities for door opening and doorway traversal in human-centric environments. The Research Engineer will contribute to humanoid robot system integration, teleoperation-based data collection, simulation-based synthetic data generation using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model development for sim-to-real humanoid manipulation research. Key Responsibilities Participate in and manage the research project together with the Principal Investigator (PI), Co-PI, and research team members to ensure project deliverables are achieved. Undertake the following responsibilities in the project: i. Humanoid Robot System Integration Configure and integrate humanoid robot hardware and software systems for door opening and doorway traversal tasks. Support calibration, perception, locomotion, manipulation, and control pipeline integration. ii. Experimental Testbed Development Design and set up representative door interaction experimental environments. Conduct baseline testing and benchmarking for humanoid manipulation and traversal tasks. iii. Teleoperation and Data Collection Develop and operate teleoperation pipelines for humanoid robot data collection. Collect, process, and manage robot demonstration datasets including perception, robot states, and control data. iv. Simulation and Synthetic Data Generation Develop simulation environments and synthetic data generation workflows using NVIDIA Isaac Sim and Omniverse technologies. Implement domain randomization and scenario variation pipelines for robust sim-to-real learning. v. AI Model Development Support development and evaluation of learning-based control policies using reinforcement learning, imitation learning, and visuomotor learning approaches. Assist in model training, testing, benchmarking, and deployment on real robotic platforms. vi. Research and Technical Reporting Conduct literature reviews and experimental studies related to humanoid robotics and sim-to-real learning. Prepare technical reports, publications, and presentation materials for project reviews and dissemination. Carry out Risk Assessment and ensure compliance with Workplace Safety and Health regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently and within a multidisciplinary team to ensure proper operation and maintenance of robotics equipment and experimental infrastructure. Assist in co-supervision of Final Year Project (FYP) or capstone students together with the project PI. To communicate and liaise with internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisors. Key Requirements Bachelor’s, Master’s, or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields. Experience in robotics software development using ROS/ROS2. Experience with robotic simulation platforms such as NVIDIA Isaac Sim, Isaac Lab, Gazebo, or MuJoCo. Familiarity with humanoid robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications. Strong analytical and problem-solving skills. Good written and verbal communication skills. Ability to work independently and collaboratively in multidisciplinary teams. The following will be advantageous: Experience with teleoperation systems and data collection pipelines. Experience with NVIDIA Omniverse or sim-to-real workflows. Experience with reinforcement learning frameworks or visuomotor policy training. Experience working with dexterous hands or humanoid manipulation platforms. Key Competencies Strong interest in robotics and embodied AI research. Able to build and maintain strong working relationships with internal and external stakeholders. Self-directed learner with strong initiative and ownership of work. Strong analytical and critical thinking skills. Proficient in technical writing and presentation. Able to work effectively in experimental and rapidly evolving research environments.