As part of the DAAD RISE Worldwide program, we were awarded two funded internship positions for two undergraduate students both being from Germany. The two interns will be conducting a research project as part of Mr. DLib in the fields of recommender systems, machine learning and natural language processing. Gordian (University Read more…
Update 2016-01-12: The salary in Tokyo would be around 1.600 US$ per month, not 1.400. 2015 has been a rather quiet year for Docear, but 2016 will be different. We have lots of ideas for new projects, and even better – we have funding to pay at least 1 Master or Read more…
Our partnering research group SciPlore, from which Docear evolved, in cooperation with the German Academic Exchange Service (DAAD) is offering a paid internship for a Bachelor student in the field of computer science. Prerequisite for applying is that you are a student studying at a German university (if you are from the US, UK, or Canada, read here). More details on prerequisites here.
SciPlore is an international team of researchers affiliated with the University of Magdeburg in Germany and the University of California, Berkeley. As an intern, you will have the chance to spend 6-12 weeks abroad at a research institute collaborating with the SciPlore research team.
SciPlore researches novel approaches in citation and semantic text analysis for quantifying similarities between scientific articles. Similarity assessments are crucial to many Information Retrieval (IR) tasks, such as clustering of documents, recommending academic literature, or automatically detecting plagiarism.
Like the previous years, we offer the opportunity for Bachelor students from the US, UK or Canada to do a paid internship at Docear in summer 2014 (if you are from Germany, please read here). The internship should last for 8-12 weeks with the earliest start date being May and Read more…
We are glad to announce that we, again, will offer a paid internship in cooperation with the German Academic Exchange service (DAAD). If you are an undergraduate student, interested in software engineering or statistics, and coming from the Greece, Italy, Portugal, or Spain, get yourself started and do an 8-12 weeks internship in summer or autumn 2013, fully paid. And if you are not applicable to apply for the internship – please tell your friends to apply! 🙂
Your research question to answer will be “How to provide (better) research paper recommendations to our users?”. As such, it will be your task to support the Docear team in researching how the interests of Docear’s users can be identified from the users’ mind maps and how these interests can be matched with interesting items to recommend. You will do literature research, create new ideas, analyze user data, and implement new recommendation approaches in JAVA. Of course, you don’t have to do all of this alone – you will be closely cooperating with the Docear team. Your work will be integrated into Docear and used by thousands of researchers around the world. If your work is outstanding, we will write a research paper with you.
You should have a profound knowledge of the programming language JAVA. Knowledge in statistics, machine learning, other programming languages (especially C/++ or Python) and/or MySQL, neo4j, Hibernate, Jersey, REST Web Services, Tomcat, and Apache is a plus, but not a requirement. Of course, we would appreciate if you spoke German but it would be no problem if you only spoke English. We would prefer, if you apply for a long internship (12 weeks) but you can also apply for a shorter internship. If you are interested in combining your internship with writing a Bachelor thesis, please let us know in advance (this would be highly welcome). You can start at any date you want in summer or autumn 2013.
Important: If you don’t want to program but have profound knowledge in statistics you are also very welcome to apply. In this case you will support us evaluating how good our current recommender system is, and you will help us generating ideas for improvements. Please indicate in your application clearly that you are not interested in software development but in statistics.