1. Neural Heuristics Design (基于神经网络的启发式算法设计)
2. Neural Integer Programming (基于神经网络的整数规划研究)
3. Multi-Objective Combinatorial Optimization (多目标优化研究)
4. Routing & Scheduling: TSP & VRP, Airport Ground Handling, Train Unit Shunting, Metro Rescheduling, etc. (路径规划及调度问题研究)
1. 满足埃因霍温理工大学博士入学要求及其语言要求,请参考以下链接:
https://www.tue.nl/en/education/graduate-school/phd-at-tue/how-to-become-a-phd-candidate
https://www.tue.nl/en/education/become-a-tue-student/admission-and-enrollment/language-proficiency-requirements
2. 具有硕士学位,专业方向包括但不限于计算机工程,人工智能,交通工程,自动化,通信工程;
3. 具备良好编程能力,熟悉运用Python, Pytorch, Tensorflow等;
4. 具备机器学习、深度学习和优化算法的基础知识储备。已有相关科研经验或发表论文者优先。