ACT, Inc. Summer Internship: AI and Machine Learning in Education Research, ACTNext in Iowa City, Iowa
ACT is a nonprofit organization helping people achieve educational and workplace success. Our programs are designed to boost lifelong learning in schools and workplaces around the world. Whether it's guiding students along their learning paths, enabling companies to develop their workforce, fostering parent, teacher, and counselor understanding of student progress, guiding job seekers toward career success, or informing policymakers about education and workforce issues. ACT is passionate about making a difference in all we do.
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Position objective: There is a growing need for educational assessment and learning tools that capture a broad range of learner behaviour necessary for the evaluation of skills such as problem solving, communication and collaboration. A key feature of such tools is the use of interfaces that enable rich, immersive interactions and can capture student data in a multitude of sensory modalities. This project focuses on the analysis of such multimodal data to address technical challenges in extracting valid and meaningful evidence of construct competency.
This position will work on one of many subcomponents of this project, which may include innovative approaches for automated content generation and audio/visual content analysis.
Typical work-related activities include:
Utilizing open source software for data capture and analysis with machine learning models (e.g. Pytroch, TensroFlow etc.).
Developing and running different algorithms for detecting features from multiple sensory data including text, audio and video. Building discriminating classifiers, generative models and running analyses. These could be NLP, statistical and / or machine learning algorithms or computer vision.
Participating in regular update meetings with supervisor(s).
Writing reports/papers (may involve relevant research literature review) & delivering presentations.
Education: Currently enrolled pursuing either a graduate or doctoral degree in Computer Science, Computer Engineering, Electrical Engineering, or a related disciplinary field.
Knowledge, Skills and Abilities:
Experience in machine learning for Natural Language Processing (NLP) with emphasis on deep learning based techniques
Experience in computer vision
Experience in Python, C++. Good overall coding skills.
Ability to evaluate, learn and use new technologies and design techniques quickly
Strong communication and technical writing skills
Experience with machine learning libraries such as Pytorch, TensorFlow, Open CV, Algorithms/models such as CNNs, GAN, RNNs, Bayesian Networks
Exposure to HCI
TravelNo Travel Required
ACT is an Equal Opportunity Employer/Minorities/Females/Protected Veterans/Disabled.
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