Assistant/Associate Professor Mathematics (Computational Focus) K.R. Mangalam University

2.0 - 6.0 years

0 Lacs

haryana

On-site

As an Assistant/Associate Professor of Mathematics with a computational focus at K.R. Mangalam University in Gurugram, your primary role will involve instructing Computer Science students in foundational mathematics while incorporating computational tools and practical applications. Your responsibilities will include teaching core mathematics courses such as Linear Algebra, Probability, and Calculus, specifically tailored for CS students. You will be expected to integrate tools like Python, MATLAB, or R into your instructional methods. Additionally, designing lab sessions and projects that involve computational applications will be essential. Furthermore, you will play a crucial role in supporting the development of the curriculum to align with industry requirements and mentor students in applied mathematics and computational thinking. To excel in this role, you should hold a Ph.D. in Mathematics, Applied Mathematics, or a related field with a computational focus. Proficiency in tools like Python, MATLAB, or similar software is a prerequisite. Previous experience in teaching or collaborating with Computer Science students is preferred. Desirable qualifications include familiarity with platforms like Jupyter, the SciPy stack, or numerical methods, as well as a robust academic and research background. If you are interested in this opportunity, please visit the K.R. Mangalam University website for further details and submit your resume to krmujobs@krmangalam.edu.in.,

Posted 2 weeks ago

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Data Scientist 2 Indian Institute of Science (IISC)

2.0 - 6.0 years

8 - 18 Lacs

bengaluru

Hybrid

Description: The Center of Data for Public Good (CDPG) is an interdisciplinary research center at the Indian Institute of Science, Bangalore, focusing on Data Science for translational research in domains such as Traffic & Transportation, Air Quality, Geospatial Analytics, Agriculture, and Health Care. We are building a Digital Twin for mobility by combining many data sources such ANPR, telco, AVLS, and incident data with key measurements such as vehicle counts and speeds extracted from video feeds from surveillance cameras. These measurements will be used in building a mobility model which can predict traffic congestion and anomalies, and also support short-term and long-term scenario analysis for use cases such as road closures, major events and infrastructure planning. As part of this exciting project, we are looking for experienced Data Scientists with good experience in building Computer Vision applications. Responsibilities: Develop vision/ai/ML techniques to detect and classify vehicular and other road objects, track them / re-identify them and obtain KPIs for traffic analytic, to be deployed at scale for about 6000 cameras. Building vision applications at scale that require optimizations such as pruning/architecting Yolo-like models and tuning them for efficiency in terms of VRAM usage, latency, model size, etc. Deploying models in large-scale inference systems like Triton and potentially optimization at CUDA level End-to-end MLOps with Experiments, model tuning, experiment tracking, architecture search and inference deployment Understand and implement latest research papers on topics related to this space Good to see on your resume: Experience with YOLO and other object detection/recognition of models including their architecture, fine-tuning and deployment at scale Experience with TFlow, Torch, CUDA Experience with MLOps tools like MLFlow, KubeFlow, Ray, and Dask A good grasp on computer vision and ML fundamentals, linear algebra, probability and statistics. Relevant publications in CV and Machine Learning Ability to translate and innovate on top of state-of-the-art research papers in the CV/AI-domain into code Proficient in Python with experience in MultiProcessing, Greenlets, C/C++ Wrappers and asynchronous programming

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