Postdoc / Postdoctoral Researcher on the subject of the computer-science aspects of quantum computing and quantum information theory

This position involves research into the computer-science aspects of quantum computing and quantum information theory. Specifically, the project will focus on one or more of the following topics: quantum algorithms and complexity, quantum machine learning, quantum communication, quantum cryptography. Depending on the most suitable topic, the research will be in collaboration with one or more of the following researchers: Jop Briët, Harry Buhrman, Peter Grünwald, Stacey Jeffery, Maris Ozols, Christian Schaffner, Michael Walter, and Ronald de Wolf. The position is on the NWO-funded QuantERA project QuantAlgo, for one or two years, and can start at any time after 1 August 2018.

Internship at CWI Amsterdam (duration 6 months) for business development of a novel product idea in energy flexibility trading

Energy systems are currently in a revolutionary transition, due to the increasing inclusion of sustainable energy sources. Whereas in the past, energy supply was determined by demand and was supplied centrally, in the future, demand and increasingly decentralized supply will need to respond to each other. Their balancing requires a combination of adjusting conventional generation, exploiting efficient storage technologies and implementing demand response with corresponding incentives thereof. Balancing activities may take place on multiple scales, from the individual household to the European or even an envisioned global grid. The transition to smart energy systems is changing business processes, markets and exchange traded products for balancing flexibility.

Postdoc on the subject of hybrid polystore query language design and implementation

TYPHON is an EU H2020 project, which aims at providing an industry-validated methodology and integrated technical offering for designing, developing, querying, evolving, analysing and monitoring scalable hybrid data persistence architectures that will meet the growing scalability and heterogeneity requirements of the European industry. Designing and deploying a hybrid data persistence architecture that involves a combination of relational and NoSQL databases, and which can manage different types of structured and textual data (polystores for conciseness), is a complex, technically challenging, and error-prone task.

Postdoc on the subject of Machine Learning and Space Weather

The position involves research in machine learning techniques and Bayesian inference, applied to real-time forecasting of energetic electrons in the Earth radiation belts. These electrons can be harmful to satellites, whose disruption can potentially lead to catastrophic societal and economic events. The emerging field of Space Weather is concerned with making accurate predictions of such dangerous events, sufficiently in advance so that countermeasures can be taken. The aim of this project is to advance our space weather prediction capability by enhancing physics based models with a new data-driven probabilistic framework. The project will involve state-of-the-art numerical simulations, Bayesian parameters estimation, uncertainty quantification and machine learning techniques.

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