Riga Technical University

Posting Start Date: 21/04/2026 Schemes of Service: Research Division: Engineering Employment Type: Fixed Term About the Project We are seeking a highly motivated Research Engineer to spearhead a pioneering project involving the integration of a high-precision surveyor tool (Trimble S9 HP total station) onto a dynamic legged robot. This project moves beyond standard mechanical integration, focusing heavily on the software architecture required for seamless, automated operation. The core objective is to architect and develop the robust middleware that facilitates real-time communication between the legged robot's controller and the sophisticated surveying payload. By taking on this role, the successful candidate will master the art of payload integration and middleware development—a highly sought-after skillset that empowers engineers to upgrade, integrate, or automate virtually any tool or sensor payload in their future careers. Key Responsibilities Middleware Development: Architect, build, and maintain the communication middleware bridging the legged robot's control system and the surveyor payload. Systems Integration: Ensure seamless hardware and software integration between the mobile base and the high-precision surveying equipment. Mapping & Navigation: Implement and optimize mapping algorithms and remote control functionalities tailored for a legged platform navigating complex terrains. Protocol Implementation: Utilize robust industrial communication protocols and custom scripts to ensure reliable data transfer and command execution. Testing & Validation: Design and execute rigorous field testing procedures to validate the integrated system's accuracy, stability, and reliability. Qualifications & Requirements Bachelor’s degree in Robotics Systems Engineering, Mechatronics, Computer Science, or a closely related field. (Graduating students finishing coursework by April are highly encouraged to apply). Strong foundational knowledge of legged robotics, including locomotion, kinematics, and control systems. Proven proficiency in robotics middleware (e.g., ROS/ROS2) and related communication frameworks. Hands-on experience with mapping technologies (SLAM) and remote operation systems. Strong programming skills, particularly in Python and C++. Familiarity with industrial protocols and serial communication. A proactive mindset with the ability to troubleshoot complex electro-mechanical and software integration challenges. Why Join This Project? Gain hands-on experience with cutting-edge legged robotics and top-tier industrial surveying equipment. Develop highly transferable skills in systems integration that will set you apart in the robotics and automation industry. Work in an innovative academic research environment with opportunities to define the architecture of a novel automated system.

Based in IPAS and the College of Science at the City East Full-time (1.0 FTE), 18 months fixed term contract Salary range: $114,151 - $128,065 per annum plus 17% superannuation At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Working with a high degree of autonomy, the Project Manager will provide specialised project management support to research teams within the Institute for Photonics and Advanced Sensing (IPAS), partnering closely with researchers to deliver industry, government and defence-funded research projects. The role will support project initiation, planning, recruitment, reporting, risk management, scheduling and milestone tracking to ensure projects are delivered effectively and in accordance with sponsor requirements. The position will also coordinate grant applications, sponsor reporting, contracts, project documentation and compliance activities, while acting as a key communication link between research teams, clients and external stakeholders to facilitate clear, timely and effective project delivery. The Project Manager will lead the development and implementation of project masterplans, schedules and monitoring systems to support effective resource planning, milestone management and on-time, on-budget delivery. The role will provide project management, financial monitoring and reporting support, including budget tracking, business analysis and recommendations to inform decision-making, while identifying and escalating risks where required. Working closely with industry, defence, government partners and University stakeholders, including Innovation & Commercialisation Services (ICS), Colleges and Schools, the position will build strategic relationships, support business development opportunities, drive continuous improvement initiatives and promote research activities through stakeholder engagement and communication activities. Curious to learn more? Explore the full role description to discover more about this opportunity. The team The Institute for Photonics and Advanced Sensing (IPAS) fosters excellence in research in physics, materials science, chemistry, biology and medicine. IPAS works to create new tools that will change the questions scientists can ask, stimulate the creation of new industries and improve productivity in existing industry, as well as create a new profession of transdisciplinary problem solvers. IPAS has at its core the drive to translate its research into new products to improve society; it is thus working closely with over 50 companies to solve their outstanding challenges as well as to apply breakthrough research. While the role reports to the Institute Manager, Institute for Photonics and Advanced Sensing (IPAS) in the Research and Innovation Portfolio, the role will work within the College of Science, in the School of Physics, Chemistry and Earth Sciences. You will join a close-knit, collaborative team with a strong learning culture and a practical, problem-solving approach. This is a role for someone who wants to make a real impact, be deeply embedded in a successful research environment, and help shape how complex projects are delivered. Visit the AU website to learn more about The Institute for Photonics and Advanced Sensing (IPAS) Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is perfect for someone who enjoys variety and meeting new people. You will experience a range of tasks and interactions, keeping your workday interesting and engaging. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience:  Demonstrated ability to scope, plan and deliver complex projects, including effective client and stakeholder management. Proven capability to manage competing priorities, timeframes and workloads to meet deadlines and achieve results. Strong relationship-building skills, with experience influencing outcomes and removing barriers across internal and external stakeholders. Experience managing significant budgets and day-to-day operations with a high degree of autonomy, initiative and sound judgement. High-level written and verbal communication skills, including preparation of executive-level reports, committee papers and financial information, with an understanding of (or exposure to) the higher education environment desirable. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter explaining your skills and experience as they relate to the role Submit your application by 11:55pm Sunday 14 June 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information about this opportunity, please contact (quoting reference number 492741): Jessica De Lorenzo Team Lead, Talent Acquisitions +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. 

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? To strengthen our team, we are seeking a university assistant to develop advanced machine learning and artificial intelligence methods. University assistant predoctoral - PhD position in Probabilistic and Interactive Machine Learning 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5376 Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science, led by Prof. Sebastian Tschiatschek, develops foundational methods in machine learning and artificial intelligence. We focus particularly on the areas of reinforcement learning, interactive learning, and deep probabilistic models. While modern reinforcement learning (RL) has achieved remarkable success, it remains limited when applied to complex, open-ended, or poorly defined environments. Two of the most critical bottlenecks in contemporary AI are sample inefficiency, often caused by the lack of intelligent, structured exploration, and the "reward engineering" problem, where designing an explicit scalar reward function that captures desired behavior is incredibly difficult or impossible. Furthermore, as AI systems are deployed in more complex environments, the challenges of AI alignment (ensuring systems behave according to human preferences) and constrained learning (adhering to strict safety, legal, or physical boundaries) become important. This position is dedicated to addressing these core challenges by advancing the frontiers of Inverse Reinforcement Learning (IRL), exploration, and safe/aligned AI.                       Your future tasks: You actively participate in research, teaching & administration, which means: You will contribute to academic research projects in the above-mentioned areas. You will work on scientific articles and publish your research results. You will participate in academic conferences to present your research. We expect you to conclude your dissertation agreement within 12 months. You will work on your dissertation and bring it to completion. You will take on teaching responsibilities as specified by the collective agreement. You will support the supervision of students’ projects and theses. You will undertake administrative duties in research, teaching, and university administration, and support the organization of workshops, conferences, and symposia. This is part of your personality: Completed Master's degree (or comparable degree) in computer science, data science, mathematics, communication engineering, or a related field (Applications from candidates close to completion are welcome. Employment can only begin once the Master´s degree has been awarded.) Excellent command of English Outstanding written and oral communication skills Strong ability to collaborate within research teams Perseverance and a proven ability to bring projects to reliable completion High motivation and commitment to scientific excellence Willingness to travel, including participation in national and international conferences Solid knowledge of machine learning and artificial intelligence (in particular in the areas of bandits and reinforcement learning) Strong programming skills, preferably in Python. Experience with deep learning frameworks such as Jax, PyTorch, or TensorFlow. Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods Cooperative, team-oriented, and proactive working style The following are also desirable: Experience with research methods in the field of machine learning and artificial intelligence, as well as scientific writing Excellent academic record, ideally with initial research results in the area of the position, documented by publications or manuscripts in preparation Experience in university teaching International experience 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. Tenure: 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. It is that easy to apply: Academic curriculum vitae  Letter of motivation including your project ideas (and description of your teaching experience, if available) Abstract of Master´s Thesis Degree certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@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: 06/06/2026 Prae Doc