POWER AND ENERGY, NETWORKED INTELLIGENT SYSTEMS, COMPUTER SCIENCE, INDUSTRIAL AND SYSTEMS ENGINEERING
[Closed]
Work description
Duties will include: a) Design, implementation and coordination of R&D, innovation and technology transfer projects; b) Identification of new opportunities and areas of activity, according to the options defined in INESC TEC's strategic plan; c) Leadership of R&D teams; d) Scientific supervision and post-graduate training of human resources; e) Participation in the negotiation of contracts, particularly those of a multidisciplinary nature.
Academic Qualifications
PhD
Minimum profile required
Doctorates for over five years, with post-doctoral experience compatible with the category of Assistant Researcher, with no requirement to demonstrate scientific independence.
Preference factors
: proficiency in English; track record (relevant publications, involvement in research projects) in the Scientific domains of INESC TEC; experience in interaction with national and international stakeholders (companies, RTO, Universities, etc.) in the assessment and identification of opportunities in INESC TEC’s research areas; experience, including responsibility positions, in research and development projects in at least one of the Scientific Domains of INESC TEC described below: - POWER AND ENERGY - electrification of society, renewable energy sources massive integration and on energy efficiency, requiring the combination of physical representations and data-driven methods for modelling and optimising energy systems, leveraging from emerging technologies like AI, blockchain and interoperability. This requires significant advances in the state-of-the-art and a combination of new computational, hardware and regulatory solutions - NETWORKED INTELLIGENT SYSTEMS - work "towards autonomous networked intelligent hybrid systems enabled by ubiquitous sensing and processing of information”. These systems are obtained by interconnecting agents, which interact and communicate mainly over wireless networks. Intelligence is achieved by developing the capability of agents to sense, perceive, communicate, navigate, and learn from past experiences, in order to enhance the ability to meet objectives. Such systems are expected to be low power and locally intelligent, to act as reconfigurable networks, to be tolerant to external disturbance, allowing them to sense and operate under extreme conditions or environments. - COMPUTER SCIENCE - Current computer systems, especially in critical realms such as utilities, health care, transportation, and finance, present new, and often unanticipated, sorts of risks that defy our best practices of software engineering and human-computer interaction and present hard and intricate challenges associated to interoperability, scalability, security, and criticality. The ever-increasing data generated present a never seen opportunity for real world data centred solutions to filter, curate, store, process, query and visualise unprecedented volumes of data from diverse sources and formats complying with demanding levels of privacy and liability pose enormous and new challenges for software systems and their engineering. - INDUSTRIAL AND SYSTEMS ENGINEERING The goal is to lead complex decision-making in end-to-end, customer-centric, agile supply chains across different industries (e.g., manufacturing, retail, health and mobility). To improve business performance, innovation, productivity, and environmental and social sustainability, our intervention in this domain ranges from local optimisation of individual organisations to complex system optimisation of networks and chains. Our activities cover the design, implementation and improvement of systems for decision support, operations human-centred automation, management and intelligence, as well as innovation and technology management.
Application Period
Since 27 May 2022 to 30 Jun 2022
[Closed]