Research Assistant – Closed-Loop Control in Multi-Material Additive Manufacturing

Research Assistant – Closed-Loop Control in Multi-Material Additive Manufacturinginspire AG is the leading Swiss competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from research to Swiss machine, electrical and metal industries.The research group...

Job OverviewWe are seeking a highly skilled Research Assistant to join our team and contribute to the development of innovative closed-loop control systems for multi-material additive manufacturing.ResponsibilitiesDevelop a cooling nozzle design in collaboration with simulation experts.Establish a system for real-time temperature control using active...

Job DescriptionWe are seeking a highly skilled Mechatronics Expert to join our team and contribute to the development of innovative technologies in multi-material additive manufacturing.Key ResponsibilitiesDesign and develop a cooling nozzle with simulation experts to enhance the joining process of dissimilar materials.Implement closed-loop temperature...

Job DescriptionAt inspire, we are committed to innovative technology that paves the way for joining materials that are otherwise difficult to bond. To support this mission, we are seeking a highly skilled Research Scientist to join our team in the development of closed-loop control in multi-material additive manufacturing.ResponsibilitiesCollaborate with...

Job OverviewWe are seeking highly motivated PhD students to contribute to our research effort focused on advanced manufacturing systems. Our goal is to develop novel control methods for industrial systems, enabling efficient and sustainable production.Research FocusOnline learning-based control and optimization techniques will be applied to advance...

 Job DescriptionWe are seeking highly motivated postdoctoral researchers to contribute to our research effort in control systems for advanced manufacturing. The envisioned research will address:Lifelong learning and adaptation using digital twins for continuous process optimization in industrial processes, employing methods such as reinforcement learning,...

About the JobWe are seeking a highly motivated PhD student to contribute to our research effort in control systems for advanced manufacturing. The successful candidate will work on developing novel control methods for industrial systems, leveraging techniques such as reinforcement learning, online convex optimization, and iterative learning control.Research...

Job DescriptionWe are seeking highly motivated PhD students to contribute to our research in advanced manufacturing control. Your goal will be to investigate and develop novel control methods for industrial systems, using machine learning and optimization techniques.In collaboration with our interdisciplinary team, you will work on projects ranging from...

Company OverviewThe Swiss Federal Institute of Technology (ETH) is a world-renowned research university with a strong focus on innovation and collaboration. Our faculty members are recognized experts in their fields, and our students are known for their academic excellence.SalaryWe offer a competitive salary of CHF 50,000 - 70,000 per year, commensurate with...

Job description We are looking for motivated postdoctoral researchers to contribute to this effort. The envisioned research will address:  Lifelong learning and adaptation using digital twins for continuous process optimization in industrial processes, using methods such as reinforcement learning, continual learning, Bayesian optimization and...

Company OverviewBeyond Gravity is a pioneering space company that combines agility, speed, and innovation to push the boundaries of what is technically feasible. With a track record of 100% mission success, our dynamic team of over 1800 professionals works across 14 locations in seven countries to develop crucial products for the satellites and launchers...

Job DescriptionThe successful candidate will focus on developing numerical models for the self-assembly process and the emergence of microstructure. They will evaluate the mechanical properties of the resulting microstructure using in-house codes and high-performance computing systems. The candidate will analyze the produced data to determine the factors...

Job OpportunityAt ETH, we are seeking highly motivated postdoctoral researchers to contribute to our interdisciplinary team focused on advanced manufacturing. The envisioned research will address:Lifelong learning and adaptation using digital twins for continuous process optimization in industrial processes, leveraging reinforcement learning, continual...

About the PositionWe are seeking highly motivated and dedicated researchers to contribute to our effort in optimizing advanced manufacturing processes.ResponsibilitiesLifelong learning and adaptation using digital twins for continuous process optimization in industrial processes, employing methods such as reinforcement learning, continual learning, Bayesian...

**Company Info**: Simulands is a Zurich based company which for the past 5 years develops human-grade medical simulators, bringing innovation and revolutionizing Training and Education in the cardiovascular medical devices field. Our physical simulators are made of advanced materials, replicating true pathological anatomies and enabling training on real...

About the PositionThe Department of Materials at ETH Zurich is seeking a highly motivated researcher to contribute to our project on nonlinear laser spectroscopy of novel ferroic materials and domains. The successful candidate will design and set up the workplace for their nonlinear-optical experiments, working with class-IV lasers and related...

At the Institute for Building Materials, we invite highly motivated individuals to apply for a PhD position in our research group.Job DescriptionWe are seeking a talented candidate to develop numerical and theoretical models for the self-assembly process of architected materials. The successful researcher will analyze data to determine factors leading to...

Job description We are looking for motivated doctoral students to contribute to this effort. The envisioned research will address:  Online learning-based control and control-oriented machine learning with application to advanced manufacturing systems, using methods such as Reinforcement Learning, Online Convex Optimization, and Iterative Learning...

Job OverviewWe are seeking a highly motivated PhD researcher to join our Quantum Material Dynamics group at ETH Zürich, Institute for Quantum Electronics.About the ProjectThis PhD position is focused on investigating the ultrafast dynamics of quantum materials under pressure. The project aims to understand how these materials respond dynamically when...

As a strategic partner of ETH Zurich, inspire AG conducts research for the industry, develops state-of - the-art technologies, methods and processes and solves problems in areas of product innovation and production technology. At the ICS (innovative composite structures) group cutting-edge researches on composite materials are carried out to find new...