机器学习研究员
科伊思正在寻找一位热情且有才华的机器学习研究员，致力于开发基于知识驱动网络的机器学习方法的一般理论和方法，该方法适用于从小型、中型和大型数据库中提取信息。
职责：
1.参与开发总结性理论框架，用于从感知器到深度学习的基于网络的机器学习方法的统一表示。
2.参与可解释的基于网络的机器学习方法。
3.参与特定领域基于网络的机器学习方法的开发。
4.参与知识驱动和任务导向网络创建方法的开发。
5.参与混合符号 - 子符号方法的开发，该方法适用于与修改计算联用。

Expectations from the job applicant for Machine learning researcher
COIOS (Tianjin) is looking for an enthusiastic and talented Machine learning researcher with keen attention to developing a general theory and methodology of knowledge driven network based ML methods, which are suitable for supporting the extraction of information from small, medium and large databases.
Responsibilities
i.Participation in the development of a summative theoretical framework for a unified representation of network-based machine learning methods from perceptron to deep learning.
ii.Participation in interpretable and interpretable network-based machine learning methods
iii.Participation in the development of domain specific network-based machine learning methods
iv.Participation in the development of the methodology for the creation of a knowledge-driven and task-oriented network
v.Participation in the development of a hybrid symbolic-subsymbolic methodology, suitable for cooperation with the modification calculus.

资质与技能：
潜在候选人应具备的预期学术和专业技能：
英语听说读写流利，要求大学英语四级（CET - 4）及以上水平，或具备同等英语能力，能满足日常工作中的英语使用需求，可做无障碍国际交流。
1.拥有计算机科学和数学硕士或博士学位，专业方向为神经网络、概率论、统计学和数理逻辑。
2.理解理论计算机科学以及神经网络和深度学习的技术和数学基础及基本技术。
3.了解相关方法和途径。
4.具有创造性思维，可识别新机会。
5.对发现和开发新解决方案有科学兴趣。
6.具有充分、透彻且令人信服的数学基础知识。
7.具备出色的沟通技巧。
8.乐于在团队协作的环境中工作。
工作地点及薪资待遇：
1.工作地点：天津或北京。
2.薪资待遇：根据能力和岗位匹配度，薪资可面议。
Qualifications and Skills
The expected academic and professional skills to be possessed by a potential candidate:
Fluent in written and spoken English, CET-4 or equivalent English ability, able to meet the needs of daily work, and able to communicate fluently in English.
Master’s degree in computer science and mathematics with a focus on Neural networks, probability theory, statistics, and mathematical logic
Understanding of theoretical computer science and NN and DL technological and mathematical foundations and the basic techniques
Knowledge of relevant approaches and methods
Creative thinking to recognize new opportunities
Scientific interest in discovering and developing new solutions
Adequate, thorough and convincing knowledge of mathematical foundations
Excellent communication skills
Ready to work within a collaborative environment with teams
Working Place & Salary
Working place： Tianjin or Beijing
Salary： The salary is negotiable based on abilities and person-job fit.