俄克拉荷马州立大学招收系统工程/应用数学/AI全奖博士生

美国俄克拉荷马州立大学先进制造和可持续发展实验室（CLAMS - Computational Laboratory for Advanced Manufacturing and Sustainability）是由2021年秋季加入该校化学工程系的Zheyu Jiang教授创建的计算实验室。CLAMS专注于利用数学建模、优化、大数据和机器学习等方法解决包括工业生产脱碳、数字化农业和Food-Energy-Water Nexus等一系列跨学科问题。

实验室最近入账了一笔数额可观的项目经费，故而现招收1-2名博士研究生，研究多尺度建模、AI for Science、数学优化、可解释AI、安全强化学习/最优控制在数字农业和清洁能源系统的优化中的应用。预计入学时间为2025年秋季或2026年春季，欢迎感兴趣的同学咨询和申请。研究课题简介、实验室研究生的福利、招生基本要求、申请和面试流程等信息都在下方。也欢迎各位同学访问CLAMS网站（muchong.com）获取更多信息。
WHAT YOU WILL DO

• Multi-scale modeling: You will develop efficient neural solvers and physics-informed neural networks for accurately solving ordinary and partial differential equations that model complex physiochemical phenomena and processes in various engineering and sustainability applications, such as water infiltration in soil for digital agriculture, CO2 transport in shale reservoirs for carbon sequestration and storage, electrolyzer and fuel cell modeling for clean energy production, and more.
• AI for Science: You will develop digital twin solutions combining physics-based first principles with data-driven techniques for applications such as variable renewable energy (e.g., solar and wind) forecasting, electricity market price prediction, and battery systems prognosis and optimization. Meanwhile, you will develop computational efficient and scalable algorithms to solve inverse problems (e.g., parameter estimation and uncertainty quantification) for these engineering and environmental applications.
• Optimization: You will develop deterministic and/or stochastic optimization models, implement convexification, reformulation, and decomposition techniques, and design efficient algorithms to solve critical problems such as: 1) privacy-preserving decentralized optimization algorithms for joint operation, maintenance, and planning of modern energy systems; and 2) designing resilient infrastructures and supply chains for food and chemicals (e.g., plastic waste and battery waste upcycling) using distributionally robust optimization.
• Explainable AI: By leveraging latest advancements in explainable AI, develop new AI/ML architectures and platforms to enhance interpretability and explainability, improve accuracy, ensure underlying physics, and/or preserve data privacy of classic AI/ML methods in solving problems related to clean energy technologies and digital agriculture.
• Safe reinforcement learning (RL) and optimal control: You will develop new theories and algorithms in safe RL to smoothly integrate hard safety constraints RL with provable convergence and optimality properties for optimal control of batch crystallization process for pharmaceutical/agrochemical manufacturing, greenhouse/building thermal systems, agricultural irrigation, etc.

WHY YOU SHOULD JOIN

• Dr. Jiang is expected to receive the prestigious NSF CAREER Award in 2025, which is the most prestigious award given by the U.S. National Science Foundation for early-career faculty who “have the potential to serve as academic role models in research and education”. Successful candidates will work on the project funded by the CAREER Award that is based on transformative and promising ideas that will push the boundary of PSE research. Dr. Jiang also collaborates extensively with faulty members with backgrounds in optimization, data-driven modeling, AI/ML, and robotics. Students will benefit from these collaborations via joint mentorship/advising.
• OSU is located in the safe, inclusive, and friendly college town of Stillwater which has very low cost of living and state-of-the-art research, education, and wellness facilities. Each GRA will receive a monthly stipend of $2,500, plus full tuition waiver for graduate courses and coverage of single-person health insurance premium. Stillwater is one of the few college towns in the U.S. that has an airport operating commercial flights, making domestic and international travel convenient. Oklahoma is one of the fastest growing states in the U.S. with lots of opportunities and great convenience. Stillwater is within 1-hr drive from Oklahoma City and Tulsa, the two largest cities in Oklahoma with outstanding food scenes as well as many indoor and outdoor activities.
• We believe that actively participating and engaging in national and international conferences plays a vital role in exchanging research thoughts and progress, generating new ideas, and building strong professional networks across academia and industry. Therefore, we encourage our students to submit abstracts and give talks at related conferences, including AIChE Annual Meeting, INFORMS Annual Meeting, IISE Conference, etc. In the past, each student would present at least one of the conferences each year. The group and OSU will offer full travel coverage on food, lodging, and transportation to each student attendee.
• We value industrial experience and believe that it is beneficial to student’s graduate research and long-term development. We encourage our students to seek and apply for summer internship opportunities in industry and national labs to complement their research at CLAMS, expand their vision and scope, and offer them a glimpse of the corporate world. In the past, our students have gone for summer internships at large, multi-national cooperations (e.g., American Airlines). We will provide all necessary resources and support to help students succeed in their applications, including writing letters of recommendation, hosting resume workshops, sharing interview insights and tips, conducting mock interviews, etc. 

QUALIFICATIONS

• Although the lab is housed in the School of Chemical Engineering, due to the multidisciplinary nature of our work, we seek BS/MS candidates from a diverse pool of expertise, including chemical engineering, industrial engineering & operations research, mathematics, computer science.
• Candidates should have a strong quantitative background and solid understanding of calculus, linear algebra, and probability/statistics. They should be comfortable with mathematical reasoning, such as performing mathematical derivations, writing proofs, coding, and conducting numerical experiments.
• We are looking for candidates who demonstrate self-motivation and commitment toward PhD study as well as strong enthusiasm for learning new topics in mathematical modeling, optimization, AI/ML, and optimal control.
• Good familiarity in one or more scientific computing software packages and programming languages (e.g., MATLAB, Python, Julia, GAMS, Pyomo), as well as open-source machine learning frameworks (e.g., PyTorch).
• Good verbal and written communication skills using English. Proof of English competency can be in the form of an official TOEFL, PTE Academic or IELTS score. Scores must be from an exam taken within the last two years. The minimum requirements are TOEFL 79 iBT, 53 PTE Academic or 6.5 IELTS academic stream.
• Preferred (but not required) background: ordinary/partial differential equations, linear/nonlinear/integer/Bayesian optimization, explainable AI, AI for Science, and optimal control.

HOW TO APPLY
Interested candidates can directly contact Prof. Zheyu Jiang at 1point3acres.com with their latest CV and transcript(s) attached. A short written assessment about the candidate’s quantitative skills may be sent via email to candidates who successfully pass the CV screening stage. Upon receipt of the written assessment, candidates will have 48 hours to complete it and to scan and email their answers back. Prof. Jiang may then schedule one or two rounds of virtual interviews with the qualified candidates before final decisions are made. Applications will be accepted on a rolling basis until the position is filled.
We understand that graduate program application can be a long and arduous experience, which mostly comes from the uncertainty and frustration during waiting. Therefore, we strive to make our interview process as fast and transparent as possible. We offer timely application status update to each candidate to minimize waiting time.

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导师简介
Zheyu Jiang教授2014年本科毕业于明尼苏达大学化工系，2018年博士毕业于普渡大学化工系，先后师从美国工程院院士Michael Tsapatsis教授和Rakesh Agrawal教授，以及全局最优化领域的领军人物Mohit Tawarmalani教授，开展高性能分子筛膜的制备和表征、多组分精馏序列的数学建模和全局最优化等研究。Jiang教授的研究生阶段的科研成果获得了包括美国化学工程师学会（AIChE）Separations Division Graduate Research Award在内的诸多奖项。博士毕业后，Jiang教授先是加入陶氏化学公司农化部（后成为科迪华农业科技公司Corteva Agriscience）担任高级研发工程师，从事小分子农药的工艺开发和优化。2021年8月起，Jiang教授加入俄克拉荷马州立大学化工系担任助理教授，对工业生产脱碳、数字农业和Food-Energy-Water Nexus等一系列跨学科问题开展研究。这期间获得美国国家科学基金会等联邦机构、俄克拉荷马州科技进步中心等地方政府机构、以及工业界的资助。
招聘要求

• 虽然CLAMS隶属于在化工系，但鉴于实验室工作的跨学科性质，我们邀请包括化学工程、工业工程与运筹学、数学、计算机等领域的申请人。
• 申请人需具备扎实的数理基础，熟练掌握至少一门科学计算或编程语言（如MATLAB、Python、Julia、GAMS）及机器学习框架（如PyTorch），并对深入学习数学建模、优化、人工智能等科研领域有足够热情。
• 申请人需具备良好的英语口语和书面沟通能力。英语能力证明可以是官方TOEFL、PTE Academic或IELTS成绩，成绩必须是在过去两年内的考试所得。学校研究生院的最低要求是TOEFL 79 iBT、PTE Academic 53或IELTS学术类6.5。

申请方式
请用英文发邮件到zheyu.jiang@okstate.edu，并附上个人简历和成绩单。通过初筛的申请人将会被邀请做一个数学背景的评估。之后将有一轮线上面试。我们将尽力缩短整个申请所需的时间，并在整个申请过程中保持沟通，确保申请者有足够的时间做决定。
大学简介与Stillwater
俄克拉荷马州立大学（OSU）是一所R1级研究型（“very high research activity”）大学。 Stillwater是一个典型的美国大学城，十分安全包容。城市大部分人口都服务于OSU，当地人对外国人十分友善。每位研究生助理除了免学费外，将获得每月2500美元的津贴及单人健康保险。公共交通由学校运营且免费，生活成本（租房、买菜吃饭、油价等）较低，性价比很高。学校各项设施相当齐全且在不断升级更新，并对学校人员免费开放。静水离俄克拉荷马州第一大城市俄克拉荷马城（Oklahoma City）和塔尔萨（Tulsa）均为一小时车程。这两座城市最近几年人口和经济增长很快，吸引了许多包括中国人在内的外国人定居就业，使得中餐和亚洲超市水平不断提升。Stillwater是美国为数不多拥有商业航班机场的大学城之一，静水机场每日有两班往返达拉斯的航班，从达拉斯可直达北京、上海、香港。
为什么加入CLAMS？

• 实验室对跨学科、跨领域合作持非常开放的态度，并长期与工业工程系、计算机系、数学系开展合作。学生们将通过这些合作获得各种交流机会。
• 实验室鼓励学生参加各种学术会议，因为这对于交流研究最新进展，激发新想法，以及在学术界和产业界建立强大的人脉关系至关重要。因此，实验室鼓励学生在AIChE年会、INFORMS年会、IISE年会、PSE等会议上提交论文摘要并作报告。过去，每位学生每年至少参加学术一次会议并作报告。学校和实验室将为每位参会学生提供会议注册、食宿、及交通的全额补贴。
• 实验室鼓励学生参加工业界/国家实验室实习，因为这对学生的科研和长期发展非常重要。过去，实验室学生已在包括美国航空等在内的跨国公司进行暑期实习。Jiang教授将利用他的工业界的经历帮助学生申请实习/全职工作，包括撰写推荐信、修改简历、分享面试经验和技巧、进行模拟面试等。

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