Position ID: | KU -Dept. of Computer Engineering -DASC2022 [#21213] |
Position Title: | |
Position Type: | Other |
Position Location: | Istanbul, Istanbul 34450, Turkey [map ] |
Subject Area: | Computer Science / Data Science |
Appl Deadline: | 2022/03/20 11:59PM (listed until 2022/12/16) |
Position Description: | Apply |
Instructor Positions in Data Science Programme at Koç University College of Engineering in Istanbul, Türkiye Koç University, College of Engineering multiple candidates, part-time or full-time, to serve as instructors to teach applied data science courses with Phyton programming language. The course topics include: (1) Data manipulation, analysis and visualization with Numpy/Scipy, Matplotlib/Seaborn and Pandas libraries (2) Machine learning, from raw data to results, with Scikit-Learn and at least one of XGBoost, Catboost or LightGBM (3) Deep learning fundamentals and applications with Tensor-flow or Pytorch (4) Big data concepts such as distributed file systems, carious databases and storage systems for big data, the MapReduce algorithm, Spark, containers, Kubernetes, orchestration and stream processing The candidate should have a graduate degree, PhD or MS, in an area related to computer science, data science, statistics, mathematics, engineering with applied experience in programming with Python and at least a subset of aforementioned topics, a preferred teaching experience of 2+ years, and a high motivation for teaching. Koç University is a private, non-profit institution located on a state-of-the-art campus in Istanbul, Türkiye. The University is supported by the Vehbi Koç Foundation, and is committed to the pursuit of excellence in both teaching and research. The medium of instruction is English. Applicants should submit a cover letter, a current CV, and a statement of teaching interests online at Academic Jobs Online. Please include the names and email addresses of at least three references in your application. Please note that applications cannot be accepted through email. All applications completed by March 20, 2022 will receive full consideration, but candidates are urged to submit all required materials as soon as possible. Applications will be reviewed until the position is filled. |
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