Portal de Oportunidades de Pesquisa – POP Pró-reitoria de Pesquisa

Grande área: Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: The project aims for electronics-photonics integration, either by incorporating optically active III-V semiconductor-based components in a CMOS circuitry or by developing III-V/Si hybrid components whose function is based on the combination of the different material systems.

Inscrições: até 11 de março de 2021

Local: Suécia

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Grande área: Engenharias / Exatas e da Terra

Tipo de oportunidade: Pós-graduação

Objetivo: Your task will be to design, prototype, and develop everyday sonic interactions to be embedded in home appliances, smart meters, etc. Without adding to the myriad of “beeps” in our life, we will create new everyday sounds meant to be felt, implicitly understood, rather than listened to.

Inscrições: até 11 de março de 2021

Local: Suécia

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Grande área: Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: This project from the Swedish National Space Agency aims to develop manufacturing methods for fabrication of high voltage integrated circuits in silicon carbide (SiC). KTH already has separate processes for integrated circuits and high voltage transistors in SiC, but now we want to combine the two. The finished integrated circuits will be used for electric propulsion in small satellites.

Inscrições: até 10 de março de 2021

Local: Suécia

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: The project you will work in is funded by the Swedish Energy Agency and is titled “Sonic interaction design to support energy efficiency behavior in the household”.
Based on our research on sound computing, sound design, interaction design, behavior change, and energy, we will develop novel everyday sonic interactions that promote energy efficiency.

Inscrições: até 11 de março de 2021

Local: Suécia

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Grande área: Saúde / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: The project involves the development of novel machine learning methods, based in particular on tools from linear and nonlinear control theory, Markov decision processes and inverse reinforcement learning, to provide interpretable diagnosis and recommendations of treatments for patients, based on healthcare data. The doctoral studies will include the analysis and design of algorithms, and potentially their use on actual healthcare data.

Inscrições: até 11 de março de 2021

Local: Suécia

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Grande área: Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: Our research is focused on the sustainable and safe operation of technical systems to the benefit of people and the planet. We pursue both fundamental research and research on a variety of applications, ranging from those in more traditional technological fields, such as robotics, energy supply, and transportation, to less obvious ones, such as health care, communications, and economics. Automatic control, mathematics, and computer science form the core of all our research.

Inscrições: até 08 de março de 2021

Local: Suécia

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: We are looking for a doctoral student interested in challenging some of the big research questions related to plastics. This includes developing and designing sustainable synthesis methods, expanding the understanding of how chemical structure effects material properties as well as how commercially practical chemical recycling methods can be achieved – all for the polyesters.

Inscrições: até 08 de março de 2021

Local: Suécia

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Grande área: Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: Admission to PhD studies in the subject engineering science with specialization in nanotechnology and functional materials.

Inscrições: até 08 de março de 2021

Local: Suécia

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Pós-graduação

Objetivo: The postdoc will work in a cross-disciplinary project which concerns the estimation of radiation fields from spectrometers mounted on UAVs, and involves two main components: The first relates to machine learning and concerns the development of algorithms for Bayesian inference. These methods should incorporate (i) known geometries in the environment, (ii) known attenuation of radiation with distance, and (iii) modeled dynamics of the UAV and sensor. The second part of the project concerns the implementation and experimental validation of these methods in field experiments.

Inscrições: até 08 de março de 2021

Local: Suécia

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Grande área: Exatas e da Terra / Engenharias

Tipo de oportunidade: Bolsa, Pós-graduação

Objetivo: Work on machine-learning and artificial-intelligence methods for self-learning and self-monitoring cyber-physical systems. A framework based on novelty detection will be established using dynamically updated clustering methodologies, capturing the transition of the system between multiple steady and time-varying operating modes. Moreover, self-organizing model methods will be investigated and further developed.

Inscrições: até 02 de março de 2021

Local: Bélgica

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