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Job ID: 246944

INESC TEC | RESEARCHER (AE2024-0420)
INESC TEC

Research Opportunities

Power Systems

Work description

The researcher’s work is framed within the activities of applying artificial intelligence (AI) to support the energy transition in critical infrastructures (e.g., the power grid).

The activities will focus on the control and prediction of the operation of power grids and energy communities, considering aspects such as interpretability, robustness, and resilience of AI-based systems. Another objective is to develop new approaches for cooperation between humans and AI, exploring paradigms such as supervised and reinforcement learning.

Academic Qualifications

Master in electrical and computer engineering; informatics; computer science; applied mathematics; other related

Minimum profile required

Basic knowledge of machine learning; Advanced knowledge of a programming language applied to data science (e.g., Python, R).

Preference factors

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Job Description Summary

The Samuel Ginn College of Engineering is seeking candidates for the position of postdoctoral fellow in engineering. Postdoctoral positions become available periodically under a variety of research grants and projects in the college. We are seeking applications from individuals with a PhD in any one area of engineering such as: aerospace, chemical, civil and environmental, computer science and software, electrical and computer, industrial and systems, and mechanical engineering at the time employment begins. Also of interest are related fields of microelectronics, automotive electronics, microfibers, highway research, materials, asphalt technology, pulp and paper, chemistry, transportation, detection and food safety and information technology. The positions are available for a minimum of one year as full-time 12-month appointments based on need, performance and funding, with renewal possible for a maximum of four years. Salary will be commensurate with education and experience. Review of applications

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JOB TITLE
Adjunct Faculty – Computer Science

LOCATION
Worcester

DEPARTMENT NAME
Computer Science Department – JM

DIVISION NAME
Worcester Polytechnic Institute – WPI

JOB DESCRIPTION SUMMARY
Worcester Polytechnic Institute (WPI) is seeking part-time adjunct faculty to teach day, evening and/or online classes for the Department of Computer Science. Part-time faculty positions are created to provide an available applicant pool for the department. Positions will be filled on an as needed basis. Start dates will vary by course and semester.

Qualified applicants will be contacted by the academic department. Your application will remain in the pool until the posting closes. If you wish to be considered for positions beyond that date, then you must reapply.

WPI is a diverse campus of learners passionate about creating an inclusive workplace that promotes and values diversity. We are looking for candidates who can support our commitment to equity, diversity, and inclusion.

JOB DESCRIPTION

There is a potential need for both undergraduate

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Position Description

The Department of Mechanical Engineering in the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas (UT Dallas) invites applications for two open-rank tenure-system faculty positions in Mechanical Engineering. Applicants from all areas of mechanical engineering are encouraged to apply. Special priority will be given to applicants whose scholarship focuses on the areas of advanced manufacturing, energy science and technology, health innovation, semiconductor science and technology, transportation science and engineering, advanced design, and mechanics of materials.

Successful applicants will be required to teach undergraduate and graduate courses in the core curriculum and in their specialization area; to advise and mentor graduate students; to develop an independent, externally funded research program; to participate in all aspects of the department’s activities; and to provide service to the UT Dallas and professional communities.

The appointment commences for the fall

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