|Wednesday, January 18, 2017|
||We're looking for students who have done excellent work in at least one of the following courses or equivalents: COMS W4160 (Computer graphics), COMS W4170 (User interface design), and COMS W4172 (3D user interfaces and augmented reality), and who have software design and development expertise. For those projects involving 3D user interfaces, we're especially interested in students with Unity experience.
||Research in the design of 2D and 3D user interfaces, including augmented reality and virtual reality, and mobile and wearable systems, indoors and outdoors. We use a range of displays and interaction devices: head-worn, hand-held, and table-top, individually and in combination. Multidisciplinary projects involve collaboration with faculty in other departments and schools.
||Depends upon the task. Please bring your c.v.
||Multiple speech-related projects in the Columbia Speech Lab.
||Strong C or C++ programming skills. Experience with x86_64/ARM assembly, GDB, and/or the Linux kernel is a plus.
||History Lab -- A collective of computer scientists, historians, and statisticians that apply data science and programming techniques to historical documents and text.
||Familiarity with general computer networking (e.g., CSEE 4119 or equivalent), basic familiarity with WiFi
||Experimental evaluation of improved WiFi Delivery System
|Thursday, January 19, 2017|
||someone who can code in python and tensorflow
||Background in probability/statistics or machine learning
||Multiple projects in precision medicine
||Deep Learning, Reinforcement Learning, Deep Reinforcement Learning, ML Timeseries Prediction
||Applications of Reinforcement Learning to Smart Cities
||Knowledge of machine learning, data science, and statistics is required
||We are developing a data-driven early warning system for mining accidents. Our model analyzes semi-structured data from the Mine Safety and Health Administration, attempting to uncover a company's safety culture from its public regulatory records. For more information please visit https://goo.gl/pyOJMB
||Strong programming skills on Python/Matlab and C++. Experience with tensorflow is a plus. Some background on statistics, machine learning, or data analysis. Knowledge of probabilistic modeling and text modeling (and, specifically, word embeddings).
||In this project, we will develop sentence embeddings, which extend basic word embedding models using recent ideas from exponential family embeddings (EFE). The idea is to find a latent representation of words taking a collection of text documents as input data. We will fit different EFE models at a sentence level and compare the results to vanilla word embeddings with a fixed window size.