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招聘概览
As a PhD TA candidate you will develop new models, algorithms and systems to help with the design and planning challenges of the energy transition. In particular, you will look at this from the perspective of combinatorial and geometric optimization (e.g. fitting solar panels, routing power distribution lines). In many cases, classical algorithms exist that solve a simplified version of the problem, but they are rarely realistic enough to give results that can be used in the real world. You will develop more practical solutions, which will involve algorithm design, analysis and engineering. You will be employed in the Algorithms (ALGO) cluster, which studies the design and analysis of algorithms and data structures, one of the core areas within computer science. Research in our cluster ranges from curiosity-driven to motivated by concrete applications, and from purely theoretical to experimental. In all cases, the goal is to understand the underlying principles of the developed solutions and to formally prove their properties. Our approaches frequently combine the rigorous methods from algorithmic theory – which give performance guarantees with respect to both the quality of solutions and the running time of algorithms – with efficient engineering to achieve results of both theoretical and practical significance.
The PhD TA position is for 5 years with 25% of your time spent on education.
申请要求
# Job requirements
- A master’s degree (or an equivalent university degree) in computer science. - A research-oriented attitude. - Motivated to develop your teaching skills and coach students. - Fluent in spoken and written English (C1 level).
合同薪水
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号主简介
@留德华叫兽:系美国Clemson大学数学硕士(运筹学方向)、Ph.D. candidate,欧盟玛丽居里学者,德国海德堡大学数学博士(离散优化、图像处理),读博期间前往意大利博洛尼亚大学、IBM实习半年,巴黎综合理工访问一季。现任德国无人驾驶资深研发工程师。
读博期间创办【运筹OR帷幄】技术、【DIY飞跃计划】留学|科研社区并运营至今,2020.08创办【DeepMatch】硕博|海外AI交友社区 ,知乎|B站 | 今日头条|微博等平台科普自媒体创作者(超100w关注者)。
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