The Toshiba Fellowship Programme is a unique opportunity for recently qualified PhD level scientists, mainly from science, computing and mathematics disciplines. It offers a chance to journey alongside Toshiba into innovation, discovering a new world of research and development, as well as exploring and living a new cultural experience in Japan. Toshiba Fellows nurture cross-cultural understanding between the UK, Europe and Japan whilst benefiting from working in our highly innovative and research centred organisation, in a country renowned for its world class technology. Every Toshiba Fellow has a real possibility to contribute to our future technologies. Participating in our scheme leads to both career development and personal growth.
The Programme has successfully operated for over 25 years, enjoying a strong and long-running collaboration with the EPSRC (Engineering and Physical Sciences Research Council) as well as fostering and developing the relationship between Japanese industry and UK academia. The successful Fellow receives a generous package, including a fixed salary and relocation assistance to and from Japan, together with support and advice prior to and during their stay.
Research topics for 2018:
Machine Learning for Autonomous Robots and Vehicles
Toshiba has developed sorting machines with letter recognition, biometric authorization systems with face recognition and many other systems with pattern recognition techniques. In recent years, deep neural networks have been emerging in the field and recently, combined with reinforcement learning, have produced remarkable outcomes: AI systems successfully played table and video games, outperforming human participants. However, there are still many problems to overcome in order for robots and vehicles to acquire autonomous behaviour for various and complex tasks in the real world. The main difficulties lie in modelling and sensing.
Toshiba is now restructuring its business in order to focus on how to solve socially important issues and create a more sustainable future. We are looking for visionary Fellowship candidates who have advanced skills to aim at such purposes. Using our facilities, software and data for research of autonomous systems, candidates are expected to research further, for example, about versatile reward design applications in deep reinforcement learning, development of more robust sensing in real world with noises, verification methods for selected acts by autonomous systems, auto cruise route generation and/or any themes for autonomous systems.
The goal is to build a strong technology for Toshiba’s business in the fields of logistics, infrastructure, and self-driving cars.
Knowledge and Skills Required
Candidates are required to have profound knowledge of at least one of the following fields: pattern recognition, machine learning, deep learning, reinforcement learning and robotics. They should have software implementation skills such as C, C++, C#, MATLAB(R) or python(TM).
Soft Actuator for Material Handling Robotics
Toshiba Corporation has been developing advanced material-handling technologies such as mechatronics for automated depalletizing and picking, McKibben pneumatic artificial muscles and nonlinear dynamics model-based controls. However, a major limitation in the adoption of dexterous material-handling robot systems is caused by lack of access to flexible and safe gripping mechanisms for soft materials. An additional major issue is the large size of the handling robotics systems caused by them necessity of pneumatic pumps.
Candidates will have opportunities to conduct proof of concept (PoC) of material-handling systems by utilizing soft-actuation technologies, such as McKibben pneumatic manipulation system with EHD (Electro-Hydro-Dynamics) or ECF (Electro-Conjugate-Fluid) actuator, or other approaches based on a soft-actuation system. These activities include the proposal, the verification and validation with respect to effective material handling systems and associated technologies, for example, the control methods and system-engineering and so on. The successful candidates will be able to carry out research and development using real world actual experiments as well as numerical simulations concerning soft-actuation, and to design and produce prototype systems.
Knowledge and Skills Required
Candidates are required to have a thorough knowledge of soft-actuation technologies
Mechanism Studies on Li-ion Conduction at the Interface Between Inorganic/ Organic Hybrid Semi-Solid Electrolytes in Li-ion Batteries for Next Generation Electric Vehicles
Toshiba has been developing a new type of lithium-ion battery “SCiB™” using a lithium titanate anode instead of conventional carbonaceous materials. This battery has remarkably improved features such as high-power, long-life, quick-charge, and safety for large-format battery applications, and has been applied to idling stop systems (ISS), hybrid electric vehicles (HEV), battery electric vehicles (BEV), and stationary power systems.
Under such circumstances, requirements for next generation batteries have become more complicated and hence our development has been covering a wide field in order to meet these individual requests: high-capacity technologies for EVs, high-power and high-temperature durability technologies for HEVs, and low cost technologies for Pb free stationary power systems.
Toshiba has excellent facilities for materials synthesis, chemical analysis, cell preparation and electrochemical testing including : electric furnaces (~1600°C), milling machines (wet and dry), dry-rooms, glove-boxes, electrode coating machines, charge-discharge devices and analysis equipment such as complex impedance measuring devices (Keysite E4990A), ICP, XRD, SEM, NMR, FT-IR etc..
The successful Fellow will participate in the entire process from material synthesis to battery test during the programme. Whilst we believe that experience is subservient to knowledge, the goal is to build a strong technology for the Toshiba’s business in the field of energy infrastructure and electric vehicles.
Knowledge and Skills Required
Candidates are required to have a deep knowledge of at least one of the following fields: solid state ionics, electrochemistry, computational calculation for ionics, materials chemistry and physics. They should have electrochemical analysis skills such as complex impedance and complex modulus, and materials synthesis skills.
For more information and explanation on the three topics please visit the Toshiba Fellowship Programme website www.toshiba.eu/fellowshipContinue reading