RSS Feed Source: Academic Keys

The Department of Engineering Science intends to appoint an Associate Professor of Engineering Science (Control Engineering) from 1st August 2026 or as soon as possible thereafter. The successful candidate will work at the Department of Engineering Science (Central Oxford, OX1 3PJ) and will be offered a Non-Tutorial Fellowship at Jesus College under arrangements described in the Job Description. The combined salary will be on a scale currently from £58,265 p.a. to £77,645 per annum plus additional benefits (see the Job Description for full details). The appointment will be initially for five years at which point, upon completion of a successful review, the post-holder will be eligible for reappointment to the retiring age.

This appointment will strengthen the Department’s research in Control Engineering. The group’s current expertise includes, on the theory end, large-scale, embedded, robust and distributed optimisation, polynomial/sum of squares methods, and optimal, robust

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RSS Feed Source: Academic Keys

From 18/12/2025 to 18/12/2025, a Tropical Storm (maximum wind speed of 111 km/h) NINE-25 was active in SEIndian. The cyclone affects these countries: [unknown] (vulnerability [unknown]). Estimated population affected by category 1 (120 km/h) wind speeds or higher is 0 (0 in tropical storm).

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RSS Feed Source: Academic Keys

The Department of Electrical and Computer Engineering at McGill University, Montreal, Canada, invites applications for a tenure-track appointment at the rank of Assistant Professor in the broad area of Applications of Artificial Intelligence in Engineering. Exceptional candidates at other ranks will also be considered.

McGill University is among the top research-intensive academic institutions in Canada and is consistently ranked in the top universities worldwide. The successful candidate will play leading roles in maintaining McGill’s international reputation of excellence in research, teaching, and service.

We are interested in candidates that apply machine learning and data-driven methods to applications in engineering, broadly in areas related to computer, electrical and software engineering, ideally in the areas of Power Systems or Communications. Some examples of areas of interest include, but are not limited to:

Power and Energy Systems, Static and Electro-mechanical Energy Conversion Communications and Signal

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