安克创新投影-智能化高级算法工程师(博士)
校招全职地点:深圳状态:招聘
任职要求
任职要求: 1.25-26届,计算机、电子信息、自动化、数学等相关专业; 技术能力: 1.熟悉计算机视觉、图像处理或信号处理相关基础算法; 2.熟悉常见传感器(如TOF、红外、磁编、G-sensor等)的基本原理及应用; 3.对深度学习、机器学习算法了解,熟悉常见框架(如TensorFlow、PyTorch等); 4.编程能力:熟悉至少一种编程语言(如Python、C++、Matlab等),具备良好的代码能力; 5.学习能力:对新技术充满热情,具备较强的学习能力和问题解决能力; 6.团队协作:具备良好的沟通能力和团队合作精神,能够积极参与团队项目;
工作职责
职位描述: 1.参与投影仪智能化算法的研究与开发,协助完成智能化系统的设计与实现; 2.协助团队进行智能化算法的技术方案设计、评估与优化; 3.参与智能化系统的测试方案设计与实施,协助完成相关实验与数据分析; 4.学习并应用最新的计算机视觉、图像处理及多模态算法,支持产品智能化功能的实现; 5.在导师指导下,参与智能化相关技术的前沿研究与探索。
包括英文材料
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
图像处理+
https://opencv.org/blog/computer-vision-and-image-processing/
This fascinating journey involves two key fields: Computer Vision and Image Processing.
https://www.geeksforgeeks.org/python/image-processing-in-python/
Image processing involves analyzing and modifying digital images using computer algorithms.
https://www.youtube.com/watch?v=kSqxn6zGE0c
In this Introduction to Image Processing with Python, kaggle grandmaster Rob Mulla shows how to work with image data in python!
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
MATLAB+
https://matlabacademy.mathworks.com/?page=1&sort=featured
Learn MATLAB and Simulink through interactive, in-product exercises
https://www.mathworks.com/help/matlab/getting-started-with-matlab.html
Millions of engineers and scientists worldwide use MATLAB® to analyze and design the systems and products transforming our world.
https://www.youtube.com/watch?v=7f50sQYjNRA
Learn the fundametnals of MATLAB in this tutorial for engineers, scientists, and students.
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更新于 2023-09-02
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更新于 2025-05-23
校招
1. 参与投影仪智能化算法的研究与开发,协助完成智能化系统的设计与实现; 2. 协助团队进行智能化算法的技术方案设计、评估与优化; 3. 参与智能化系统的测试方案设计与实施,协助完成相关实验与数据分析; 4. 学习并应用最新的计算机视觉、图像处理及多模态算法,支持产品智能化功能的实现; 5. 在导师指导下,参与智能化相关技术的前沿研究与探索。
更新于 2025-08-14