Ph.D. positions- Research Assistantships

Summary:

Join the cutting-edge world of Machine Learning with exciting fully funded opportunities! Research Assistantships support Ph.D. positions, while Postdoctoral fellow positions are also available. Candidates with a track record in machine learning research are sought for postdoctoral roles, while Ph.D. applicants should have a strong background and interest in specific areas. Dive into Deep Learning research, exploring ML decision explanations, model generalization and robustness, and generative models. Don’t miss out on this chance to contribute to the forefront of innovation in Machine Learning!

Requirements and Qualifications:

– Submit a CV, including an updated Google Scholar page if applicable.
– Provide a list of references with their names, titles, organizations, and your relationship to them.
– Submit all previous university-level transcripts.
– List background courses relevant to AI research.
– Prepare a 1-page document answering questions about research interests, a proposed first project based on literature and the supervisor’s papers, and the intended starting semester.
– Include a 2-minute video discussing interests in any research topic.
– Provide any additional material such as project videos or code samples.
– Submit TOEFL/IELTS scores for international students.
– Preferred qualifications include a strong mathematical background, programming skills, industry experience as a software/research/ML engineer, or a keen interest in the lab’s research areas (explainable AI, interpreting neural networks, or generative models).

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