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In-brief analysis

October 3, 2025

The value of all energy trade between the United States and Mexico was estimated to be $57 billion in 2024, down from nearly $72 billion in 2023, according to data from the U.S. Census Bureau. A combination of lower petroleum output from Mexico and lower fuel prices, particularly for petroleum products that make up the bulk of the cross-border energy trade between the two countries, drove most of the decrease.

Energy trade value represents the total value of energy imports and exports between two countries and is driven by commodity volumes and prices. Most of the energy trade value between the United States and Mexico comes from U.S. exports of refined petroleum products to Mexico—$37 billion in 2024—which accounted for 64% of the total energy value traded between the two countries.

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RSS feed source: US Energy Information Administration

In-brief analysis

October 1, 2025

In 2023, Texas consumed more energy than any other state. Total energy consumption in Texas was twice as much as in California, the second-highest consuming state, and more than three times as much as in Florida, the third-highest consuming state, according to recently released data in our State Energy Data System (SEDS). U.S. total energy use peaked in 2007, and between 2007 and 2023, Texas’s energy consumption increased 21%, while U.S. energy use decreased 5%. According to our SEDS data, most of the energy consumption growth in Texas is attributable to increased industrial activity, population, and electricity demand.

In 2023, energy consumption in Texas was higher than in any other state for every sector. Texas also consumed more coal, natural gas, and petroleum than any other state, and it was second only

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A powerful new AI tool called Diag2Diag is revolutionizing fusion research by filling in missing plasma data with synthetic yet highly detailed information. Developed by Princeton scientists and international collaborators, this system uses sensor input to predict readings other diagnostics can’t capture, especially in the crucial plasma edge region where stability determines performance. By reducing reliance on bulky hardware, it promises to make future fusion reactors more compact, affordable, and reliable.

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Key Performance Area

Deliver high-quality and innovative teaching across undergraduate and postgraduate programmes, designing assessments that support student success. Supervise and mentor research students, ensuring academic integrity and ethical practice. Lead curriculum development and review to maintain academic relevance and industry alignment. Conduct individual and collaborative research, build a strong publication record, and pursue external funding opportunities. Provide academic leadership, mentor junior staff, and foster a collaborative departmental environment. Contribute to governance through active participation in committees and support institutional quality assurance and strategic initiatives. Assist with student selection, registration, and advising in line with university policies. Lead outreach and capacity-building initiatives with community and industry partners. Perform any other reasonable duties as assigned by the Head of Department or senior leadership.

Job Requirements 

A Master’s degree (NQF Level 9) in Artificial Intelligence, Computer Science, Data Science, with at least four (4) years of

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