The Open SkAI 2025 conference is the U.S. National Science Foundation and Simons Foundation-funded SkAI Institute's inaugural conference. The main aim of the conference is to enhance and generate new Astro-AI research directions. Conference themes will include: Astro-AI research across survey astronomy, from stars and transients to galaxy formation, evolution, and the dark sector. We encourage researchers from all levels to apply to attend.

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Do you need to identify a set of themes from within a large collection of text documents? If so, topic modeling can help. For example, topic modeling can be used to identify recurring themes in news articles, discover research trends in scientific publications, or analyze public sentiment across social media posts. In this workshop, you will get a high-level overview of different existing techniques used for topic modeling which focuses on modern AI-driven approaches. You will also have ample time to work through step-by-step hands-on exercises to learn how to leverage AI-based topic modeling analysis techniques using real data through Python.

Prerequisites: Basic familiarity with Python.

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The Open SkAI 2025 conference is the U.S. National Science Foundation and Simons Foundation-funded SkAI Institute's inaugural conference. The main aim of the conference is to enhance and generate new Astro-AI research directions. Conference themes will include: Astro-AI research across survey astronomy, from stars and transients to galaxy formation, evolution, and the dark sector. We encourage researchers from all levels to apply to attend.

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Do you have text data you need to classify? Are you lacking the time or money for research assistants to label a large number of examples to train a custom model? This workshop covers how to “fine-tune” an existing Large Language Model (LLM) to classify your own research text data. Fine-tuning helps you take advantage of a large model that other people with more resources and machine learning expertise already trained and use it for your project with relatively few labeled examples. That way you can accurately, reproducibly, and cost-effectively classify text data by topic, sentiment, or another concept.

Prerequisites: Basic familiarity with Python.

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The Open SkAI 2025 conference is the U.S. National Science Foundation and Simons Foundation-funded SkAI Institute's inaugural conference. The main aim of the conference is to enhance and generate new Astro-AI research directions. Conference themes will include: Astro-AI research across survey astronomy, from stars and transients to galaxy formation, evolution, and the dark sector. We encourage researchers from all levels to apply to attend.

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Retrieval-Augmented Generation (RAG) is an approach to build Large Language Model (LLM) based systems which are grounded on an external knowledge base, such as a collection of academic papers, clinical data, books, or websites. In research, RAG is applied to a plethora of tasks, from improving medical diagnoses, to summarizing legal documents, to generating novel research ideas grounded on well-vetted and trusted sources. In this hands-on workshop, we will start by learning the basic framework and core elements of RAG, including embedding models, vector databases, indexing techniques, and generative models. We will then build a RAG system step by step and test it on provided datasets.

Prerequisites: Basic familiarity with Python.

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The Open SkAI 2025 conference is the U.S. National Science Foundation and Simons Foundation-funded SkAI Institute's inaugural conference. The main aim of the conference is to enhance and generate new Astro-AI research directions. Conference themes will include: Astro-AI research across survey astronomy, from stars and transients to galaxy formation, evolution, and the dark sector. We encourage researchers from all levels to apply to attend.

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Enjoy a welcome from Dean Christopher A. Schuh and other McCormick leaders, and receive a Northwestern Engineering T-shirt. A free light breakfast on the Tech East Plaza will follow.

All alt text for images should be based on the context of the image and what is being portrayed to the user. Writing appropriate alt text can be difficult, especially for complex images such as charts and graphs. This session will discuss the best practices for writing alt text, explore AI tools that can help, and discuss how to evaluate the output of AI tools before adding alt text to your images.

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New Undergraduate Fall 2025 Registration

Enjoy a welcome from Dean Christopher A. Schuh and other McCormick leaders, and receive a Northwestern Engineering T-shirt. A free lunch on the Tech East Plaza will follow.

Fall Classes Begin. Change of Registration (Drop/Add) Late registration for returning students begins

The Wednesdays @ NICO Fall Seminar Series returns on September 24th and will run through November 12th, 2025. Please visit our web site in early September for detailed speaker information, talk titles and abstracts.

This fall, we are honored to host the following distinguished speakers:

9/24 - Emma Alexander, Dept of Computer Science, Northwestern University
10/1 - Sebastien Martin, Kellogg School of Management, Northwestern University
10/8 - Tomer Ullman, Dept of Psychology, Harvard University
10/15 - Patrick Park, School of Computer Science, Carnegie Mellon University
10/22 - Max Kreminski, Midjourney
10/29 - Elizabeth Gerber, Mechanical Engineering and Communication Studies, Northwestern University
11/5 - Julio Ottino, Chemical and Biological Engineering, Northwestern University
11/12 - Blaise Aguera y Arcas, Google Research

Location:

In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: TBA via Zoom

About the Speaker Series:

Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.

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Northwestern's 2025 Fall Tech Career Fair

Co-hosted by Department of Computer Science, Department of Electrical and Computer Engineering and Engineering Career Development Office

Date: Friday, September 26, 2025

12:00pm – 4:00pm

Norris University Center - 1999 Campus Drive, Evanston, IL 60208

Join us for the Northwestern 2025 Fall Tech Career Fair, a collaborative in person career fair, connecting you with employers looking for talented students in computer science, data science, computer engineering, electrical engineering, machine learning, and similar programs. This is a great opportunity for you to learn, network and possibly be recruited with various industries. This fair is open to undergraduate, Masters and PhD students for internship, co-ops, and full-time positions.

Registrations for this event will be handled through Handshake, please click here to get started!

Pre-registration is preferred but students will be given access on the day of the event.

Wildcards will be required for all attendees.

Professional Business Attire recommended (No Jeans, Joggers, Sweats/Sweatshirts, or T-Shirts, please)

Check back regularly to see which companies are coming! List is subject to change.

·Conduct company research to better familiarize yourself with companies.

·Search McCormickConnect and Handshakefor available positions and apply for the position(s) ahead of time so companies know you’re interested.

·Be prepared and be ready with your “elevator pitch”.

·Bring copies of your resume and business cards! Resume should be uploaded into McCormickConnect

Engineering Career Development (ECD is here to assist as you prepare for the fair. You can schedule an appointment in McCormickConnect to meet with your dedicated career advisor.

Additional questions, please contact:

Engineering Career Development (ECD) Office

Ford Motor Engineering and Design Center, First Floor, 1.200

847.491.3366

ecd@northwestern.edu

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