Control Engineering jobs

Investigate foundation models for safe, socially aware human–robot interaction in the HUCEBOT team. The ENACT-funded project combines vision-language and vision-language-action models with motion planning and control, addressing hallucinations, long-horizon behavior, human communication and environmental adaptability. Socially aware robot navigation is the…

Apply through the RobotX programme to several ETH robotics research groups, selecting up to three potential supervisors. Areas include soft and biohybrid robots, locomotion, manipulation, perception, human–robot interaction, learning and safety. Successful candidates receive fully funded doctoral employment at ETH salary rates with social benefits and…

The Soft Robotics Lab at ETH Zurich develops soft and musculoskeletal robots, biohybrid living systems, dexterous manipulation and robot learning, and simulation for embodied AI. Researchers shape a direction connecting real hardware, sensing and control with learning policies, compliant actuation, fabrication or engineered tissue. Doctoral researchers…

Research neural interfaces, implantable neurotechnology, neural decoding and closed-loop brain-computer interfaces. Topics include electrode and sensor design, biocompatible materials, high-channel-count recording and stimulation, neurophotonic probes combining optical stimulation with electrophysiology, and adaptive or deep-learning decoders. The…

Develop and evaluate software for thermal-system design and control, including HVAC, central heating/cooling plants and data-centre cooling. The work uses Modelica, Python, optimization and AI, with laboratory or field validation and industrial collaboration. This two-year postdoctoral appointment has monthly pay of USD 8,266–8,921. Priority review is…

Develop and maintain instrumentation and test equipment for CERN cryogenic systems. The appointment supports High-Luminosity LHC work through electrical engineering, controls and experimental development.

Develop agentic AI for accelerator operations in Berkeley Lab’s Advanced Light Source and the multi-laboratory MOAT-Core programme. Research covers planning, tool use, evaluation, human oversight and integration of the Osprey platform with control systems, models and facility knowledge. The full-time postdoctoral appointment lasts two years with possible…

Develop research in manufacturing robotics, industrial automation and controls within ORNL's Manufacturing Robotics and Controls Group. Work includes advanced sensing and control algorithms, flexible automation, machine learning, machine vision and collaboration with industrial partners. The scientist will develop proposals, communicate research results and…

Develop non-invasive neurotechnology based on focused ultrasound and targeted drug delivery. Projects may combine hardware and software, MRI-guided targeting, electrophysiology, closed-loop neuromodulation and preclinical experiments, with collaboration on clinical translation.

Develop learning-based sensing and control for soft robotic baggage-handling systems. Build and test adaptive grippers and manipulation strategies for deformable, irregular loads, using real-world measurements to improve performance and reliability.

Investigate bioelectrodes and electronic interfaces that monitor cellular metabolism and support feedback control of cells. Doctoral projects integrate catalyst engineering, simulation, device fabrication and control methods, working with molecular biologists and bioengineers.

Develop bioelectronic interfaces for monitoring metabolism and controlling cellular behaviour. Projects combine catalyst design, computational modelling, bioelectrode fabrication and electrical engineering, with opportunities to build implant concepts and control software.

Develop and validate control software for physical robots, working across sensors, actuators and mechanical constraints. The role includes experiment design, commissioning, repeatable testing and documenting results so other researchers can extend the systems.

Develop industrial robots for manufacturing, including welding, bonding, drilling and manipulation. The work combines robot control and motion planning with sensor integration, metrology and automated data collection, and includes experiments to improve accuracy and process quality.

Develop and evaluate AI-enabled connected vehicles and smart mobility systems. Research combines transportation data, digital twins, cooperative driving, infrastructure control, vehicle-in-the-loop testing and real-world demonstrations to improve energy efficiency and transport performance. Applications are made on the employer’s recruitment portal; no…

Work in ORNL’s Building Equipment Research Group on modeling, optimization and autonomous control of thermal systems, including HVAC, water heating and data-center cooling. Responsibilities include physics-based, data-driven and hybrid models; experimental validation; advanced control strategies; sensor integration; anomaly detection; and predictive…

Research joint aerodynamic-shape and control design in EPFL’s Computer Vision Laboratory. The project applies machine learning to co-design, with model gliders for FAI competitions as a possible application. The appointment is full time for one year, renewable, with a flexible start date and autumn 2026 preferred.

The Control and Automation group at inspire AG, an ETH Zurich strategic partner, offers a full-time postdoctoral position in Zurich with an industrial partner and ETH’s Automatic Control Laboratory. The researcher will develop iterative learning control and parameter-optimisation algorithms, connect theoretical analysis to tests on industrial hardware, and…

The Chair in Nonlinear Dynamics recruits a doctoral researcher to develop interpretable, data-driven models for complex physical systems. Work centres on spectral submanifold methods and nonlinear model reduction, with possible applications to fluid–structure interaction, materials with memory, soft robotics, teleoperation, space structures and turbulence.…

Ai2's Robotics team is hiring a research scientist to investigate foundation models for robotics and develop open methods, datasets, benchmarks, and models. The work combines large-scale simulation with real robots, spanning manipulation, planning and control, reinforcement or imitation learning, sim-to-real transfer, world models, and broadly competent…