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I am a PhD student working on machine learning algorithms applied to bioinformatics problems. So far, I have always been working on problems my supervisors appointed to me, and so I never had to worry about new scientific problems to solve. In the next months, I will have to write a research statement for some Postdoctoral applications, and I do not know where to start... The main issue is that, since I got used to work on already known problems, I have been finding it difficult to hyphothesize new problems in machine learning field to attack in my research statement. How and where can I find some Machine Learning open problems for my research statement? |
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You should have encountered many interesting problems that you did not have to time to direct your attention to over the course of your PhD; think back. You can also list problems you are interested in that are different from what you have worked on but leverage what you know, if you want to change direction. |
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This list might help: Machine Learning Surveys You can get a quick overview on several Machine Learning topics and see what kind of open problems are they facing nowadays. |
See this question: http://metaoptimize.com/qa/questions/11645/open-research-questions-and-ideas-in-the-domain-of-online-supervised-and-semi-supervised-learning-for-classification-tasks