Interested in climate and sustainability and curious where you can make a difference? Attend the Climate and Sustainability Career Expo to learn about research, internships, and careers in climate.Salata Institute Climate and Sustainability Career Expo – Friday, November 7, 2025, 1-4:30 ET, Harvard’s Gutman Conference Center – 6 Appian Way, Cambridge, MA 02138Register for the event using this form. Shuttle transportation will be available for MIT students, making continuous loops between the main campus and Harvard from 12:15 p.m. to 5:00 p.m. To take the shuttle, meet at the steps of 77 Mass Avenue.How is a career expo different from a career fair?This event is intended to be a opportunity that encourages employers to showcase their work in the climate and sustainability space even if their full-time or internship opportunities are not yet posted. During the Career Expo employers will promote upcoming jobs, internships, research experiences, and projects at their organizations. While some employers may have roles posted by the event on Friday, November 7, 2025, many employers will open applications over the winter or in the spring.The partnership is supported by the following MIT Departments: Chemical Engineering, Civil and Environmental Engineering, Climate Education, Earth Atmospheric and Planetary Science, Mechanical Engineering, Sloan Climate Sustainability,Nuclear Engineering, Energy Initiaitve, Office of Sustainability, Undergraduate Advising Center, and Career Advising and Professional Development.Please note this event is an undergraduate and graduate student only event, please bring your student id with you to the career expo to confirm your registeration.

Chemistry Student Seminar (CSS) is a student-organized seminar series that host graduate students and postdocs to share their research in a friendly and informal environment. Free donuts and coffee are provided.

Speaker: Tatsunori Hashimoto (Stanford University)Abstract: Compute scaling has dominated the conversation with modern language models, leading to an impressive array of algorithms that optimize performance for a given training (and sometimes inference) compute budget. But as compute has grown cheaper and more abundant, data is starting to become a bottleneck, and our ability to exchange computing for data efficiency may be crucial to future model scaling. In this talk, I will discuss some of our recent work on synthetic data and algorithmic approaches to data efficiency, and show that in both cases, classical statistical perspectives based on nonparametric modeling and ensembling bring new insights and empirical benefits to modern questions of scaling and data efficiency.Biography: Tatsunori Hashimoto is an Assistant Professor in the Computer Science Department at Stanford University. Work from his group spans many areas within statistical machine learning and language models including language model post-training, uncertainty quantification, and data selection. He received his Ph.D. at MIT under the supervision of Tommi Jaakkola and David Gifford, and is the recipient of the NSF CAREER, Samsung AI researcher of the year award, a Kavli fellowship as well as best paper awards at ICML, ICLR, and CHI.

The Mobility Forum with Prof. Jinhua Zhao showcases transportation research and innovation across the globe. The Forum is online and open to the public.

Ten minutes for your mind@2:50 every day at 2:50 pm in multiple time zones:Europa@2:50, EET, Athens, Helsinki (UTC+2) (7:50 am EST) https://us02web.zoom.us/j/88298032734Atlantica@2:50, EST, New York, Toronto (UTC-4) https://us02web.zoom.us/j/85349851047Pacifica@2:50, PST, Los Angeles, Vancouver (UTC=7) (5:50 pm EST) https://us02web.zoom.us/j/85743543699Almost everything works better again if you unplug it for a bit, including your mind. Stop by and unplug. Get the benefits of mindfulness without the fuss.@2:50 meets at the same time every single day for ten minutes of quiet together.No pre-requisite, no registration needed.Visit the website to view all @2:50 time zones each day.at250.org or at250.mit.edu