The Machine Learning Department invites applications for summer and fall 2023 internships. We have research projects covering many areas of machine learning. The internship will involve research and development of novel machine learning algorithms with applications in image/video understanding, natural language processing, data analytics, bioinformatics, and health care. Our internships normally result in high-quality publications. Minimum duration of the internships are usually 3 months and the exact dates are flexible.
We conduct research on various aspects of machine intelligence and reasoning, from the exploration of new algorithms to applications in computer vision, semantic comprehension, and bioinformatics. Our researchers have extensive expertise in theoretical and application aspects of machine learning, as well as in the development of parallel algorithms for large-scale data analysis.
Ongoing projects focus on machine reasoning, text understanding, deep generative models, representation learning, few-shot/zero-shot learning, interpretable models, data visualization, deep learning systems, and reasoning with combinatorial optimization, among others. Publishing is an integral part of our activities as a means for calibrating the quality of the research and to ensure staying at the forefront of technology. Application projects emphasize technologies that solve real world problems, and many of our research results have been and will be transferred into industry products.
• Currently enrolled in PhD/MSc program in computer science, statistics, electrical engineering, computational biology, or equivalent.
• Research experience in machine learning.
• Strong computational background.
• Strong programming and scripting skills.
• Strong communication and collaboration skills.