北京理工大学自动化学院Saša V. Raković教授诚招优秀博士生

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Title：北京理工大学自动化学院Saša V. Raković教授诚招优秀博士生

学校（University）：北京理工大学（Beijing Institute ofTechnology, BIT）

院系（School）：自动化学院（School of Automation）

学科（Discipline）：控制科学与工程（Control Science and Engineering）

入学时间（Entrance time）：2022年秋季（Start in the Fall semester 2022）

研究方向（Research direction）：模型预测控制、人工智能与控制（Model predictivecontrol; Learning and artificial intelligence）

学校简介（About BIT）：

Beijing Institute ofTechnology (BIT) is one of the most important and successful engineeringuniversities in China. In the 2018 QS University World Ranking, BIT ranked389th in the world, 76th in Asia and the top10 in science and engineering inChina. It has been one of the key universities in China since its founding andthe first batch of universities which has entered the national “211 Project”,“985 Project” and the “Top A World-class University”. BIT was rated as a“double first-class university” and its control science and engineering is ratedas a “double first-class discipline” in 2017.

导师简介（About Supervisor）：

Professor Saša V. Rakovićreceived the PhD degree in Control Theory from Imperial College London. His PhDresearch was awarded the Eryl Cadwaladr Davies Prize 2005 as the best PhD thesisin the EEE Department of Imperial College. He has been affiliated with a numberof well-known universities, including, inter alia, Imperial College London, ETHZürich, Oxford University, University of Texas at Austin, University ofMaryland at College Park, and Texas A&M University at College Station. SašaV. Raković’s main interests and contributions liewithin the areas of synthesis of control systems, analysis of dynamicalsystems, and decision making under constraints and uncertainty. He is a pioneerof tube model predictive control. His work is published in top journals and itis highly cited, and he has also edited, with William S. Levine, a highlypopular “Handbook of Model Predictive Control” published by Springer Nature.

详细要求（About Positions）：

The candidates should beprepared to work across a number of disciplines including at least controls,dynamics, optimization, and systems as well as artificial intelligence,learning and decision making. The candidates should be familiar with MATLAB ora closely related programming language. Solid knowledge of English isnecessary.

A number of projects willbe available. Two main research themes are theory and implementation of modelpredictive control under constraints and uncertainty as well as interactions ofartificial intelligence and control theory. A number of projects is availablewith the focus on:

1. Theory, implementation,and application of optimal and model predictive control in general and tubeoptimal and model predictive control in particular.

2. Theory for symbiosis oflearning and optimal and model predictive control as well as relatedimplementation and application of the developed methods.

3. Theory, implementation,and application of adaptive optimal and model predictive control.

如何申请（How to Apply）：

申请的同学请用英文写邮件并提供下列的英文附件材料发送至邮箱：zhangsixing@bit.edu.cn，条件合适的将会进一步联系交流。

1. CV that includes listof publications (if any),

2. Personal statement thatincludes details on why she/he would be ideal candidate for Ph.D. positionwithin above specified focus,

3. List of taken lecturecourses as well as a summary of grades/marks for takencourses.

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