The Garyfallidis Research Group offers research opportunities for undergraduates, graduate students, professional students, postdoctoral fellows, and sometimes professional staff. Interested candidates are invited to contact Professor Garyfallidis by e-mail (firstname.lastname@example.org)
New PhD positions
Visualization and Machine Learning
A position is open for a brilliant PhD candidate to work on developing exiting scientific visualization and machine learning algorithms. The candidate will help build smart state-of-the-art open source applications that visualize brain and nano data.
Skills required: At least one machine learning course at graduate or undergraduate level, deep learning (optional but bonus), OpenGL or VTK, good background in applied mathematics, Python and C programming, TOEFL score ( > 100), excellent GRE scores (GRE writing > 3.0). The candidate will need to have excellent communication skills and be happy to work in teams and develop open source software.
Information about PhD applications in Intelligent Systems Engineering is available here
Before applying we recommend e-mailing Prof. Eleftherios Garyfallidis with your CV attached.
The Indiana University School of Informatics, Computing, and Engineering’s rare combination of programs—including computer science, data science, informatics, information science, intelligent systems engineering, and library science—makes our school one of the largest, broadest, and most accomplished of its kind. Our extensive programs are united by a focus on information, engineering, and technology. These rapidly evolving fields demand new ideas, new discoveries, and new applications—the types of innovations our faculty develop and the kinds of complex problems our students learn to solve. The school has more than 130 faculty, 2000 undergraduates and more than a 1000 graduate students.
Indiana University, Bloomington is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.