一、岗位信息

P00051 未来人居研究院

招聘类别 博士后

发布时间 2024-01-23 08:00

截止时间 长期招聘

招聘人数 5名

二、职位职责

Communication with internal and external experts, manufacturers, and suppliers, if applicable.

Reporting on a weekly or bi-weekly basis the progress of the platform development, analysis and optimisation.

Communication with colleagues with different backgrounds and expertise (architecture, computational design, computer science, digital fabrication).

Deliverability of the platform as a physical prototype, custom build small pre-prototypes, ability to program, simulate and deliver the production tasks, publishing activities (conference attendances, symposia, journal articles, patents development, exhibitions, if applicable).

三、任职要求

1. 具有博士学位，品学兼优，身体健康，年龄在35周岁以下，获得博士学位的年限一般不超过3年；

2. Experience with cable-driven parallel robotic systems (CDPRs) and their programming and prototyping;

3. Prototyping experience of a robot based on modular industrial robotic components (magnifiers, motors, supplies in a multi-sensorial setup, winches, swiveling sheave assemblies);

4. Experience in building customized end-effectors (EE) and mechanical programmable moveable parts related to EE;

5. Expertise in programming in the field of mechatronic engineering/kinematic vs static algorithms development/control user interfaces/AI (C++, Python, ROS, C#, Unity ML-Agents or similar frameworks);

6. Deep reinforcement learning applications in robotics research experience;

7. PhD in robotics/mechanical engineering/ mechatronic engineering/manufacture and automation/computer science with a focus on AI and robotics;

8. Experience with Rhino/Grasshopper programming interface and GH components development is an advantage;

9. Active English, Chinese language is a big advantage.

四、其他信息

团队简介

The Deep Co-intelligent Architecture research group at the Institute of Future Human Habitats led by Assist. Prof. Peter Búš focuses on research in the field of advanced design computation and digital fabrication strategies for architectural scenarios engaging human and artificial intelligence. It develops design-to-production workflows where human intelligence and technology are linked together to generate spatially unique scenarios, production-efficient building processes, and effective architectural solutions for human habitats. The current ongoing research employs robotic technologies as a part of the production workflow for co-intelligent assembly methods driven by human intelligence and AI encompassing a kit of parts and discrete components for adaptive spatial scenarios or craftsmanship.

Peter Buš is an architect and educator in the field of digital architecture (teaching and research) at the Institute of Future Human Habitats at Tsinghua Shenzhen International Graduate School. He is the founder and design principal of Peter Buš | Architecture | Computational Design | Research, his design, and research-oriented architectural practice registered in Europe. Peter was previously a module convenor and lecturer of research and design studio-oriented modules Principles and Methods for Bio-digital Design and Morphogenetic Programming in the Bio-digital Architecture program at the KSAP, University of Kent, UK in 2018-2021. He also taught both undergraduate RIBA Part I and postgraduate RIBA Part II architectural design studios in Kent and worked as a Senior Postgraduate Teaching Assistant at the Bartlett, UCL in the B-Made platform (2021-22).

Shortly before his Ph.D. defense at the CTU Prague (2016), he joined the team of the Simulation Platform module IX at the Future Cities Laboratory (Singapore ETH Centre) in Singapore for a short-term residency in 2015. Before joining KSAP in Kent in 2018, Peter worked as a post-doctoral researcher and lecturer at the Chair of Information Architecture at the Swiss Federal Institute of Technology (ETH) in Zurich (2016-2018). He concentrated on a variety of urban design-related characteristics of contemporary and future cities, mostly participatory initiatives, evidence-based design, the use of AI, and research-driven teaching. During his post-doctoral research, he received the Richard Rogers Fellowship from the Harvard Graduate School of Design (2018) to investigate theoretical aspects of Large-scale prototyping practices in larger urban contexts. He collaborated also as a visualization expert in the Swiss National Science Foundation-funded research project ESUM and as a researcher and computational designer in the Empower Shack research project in collaboration with the Urban-Think Tank platform at the ETH, Bauhaus University Weimar, Future Cities Laboratory Singapore, and Decoding Spaces GbR. Peter is currently focusing on the development of advanced design-to-production strategies and computational workflows, concentrating on digital fabrication and manufacturing, robotics, and advanced computational design-driven production at Tsinghua SIGS. In addition, he investigates the potentialities of computation, digital fabrication methods, and prototyping practices for their applications in the AECO sector and their capacities to respond to citizens' necessities. He received several winning prizes and honorable mentions for selected architectural projects in his past career as a practicing architect (2006-2022), he published more than 20 scientific publications as journal articles, book sections, or conference papers and participated in various software developments. He gave many invited lectures, guest talks, and computational design workshops in Europe and Asia.

五、招收方向

The research task will be focusing on the development of a custom build cable-driven robotic system (6 to 8-DOF larger-scale platform) and particular end-effectors for flexible construction methods and strategies integrating custom design of kit-of-parts and discrete components for adaptive assembly systems. The robot will be operating with smaller-scale components, possibly to be scaled up. The system will be integrating an industrial modular structure as an exoskeleton, and robotic components with the operational control unit to drive and program the moveable parts. The platform will be developed as an open framework allowing scalability for additional interaction with human user/designer/builder and cooperation with either industrial collaborative robots and/or independent customized construction robotics as moveable and flexible building blocks. The cable-driven system will be also linked with a mixed-reality user interface, allowing intelligent and safe control of building scenarios. The task includes designing, prototyping, and building a platform, its performance analyses, and optimization. Communication with internal and external experts and suppliers, reporting, and publication activites.

六、福利待遇

1. 参照清华大学深圳国际研究生院及深圳市相关条例享受工资待遇；

2. 博士后在站期间基本年薪为12万元，并按照相关规定参加社会保险及住房公积金，开题和中期考核合格者，可获得深圳市生活补贴18万元/年（资助期限不超过2年），在深圳市无房的博士后可享受2800元/月的租房补贴；

3. 学校为每位博士后提供在站期间两年共计2万元的科研学术活动资助；

4. 已获得水木学者的博士后，在站期间可额外获得6万元/年的院发补贴（以薪酬委员会决议为准）；

5. 在站期间可按照相关规定，申请中国博士后科学基金和国家、省、市其他科研项目；

6. 博士后出站选择留深从事科研工作，且与本市企事业单位签订3年以上劳动(聘用)合同的，可申请深圳市出站博士后留深科研资助（10万元/年，共资助3年)；

7. 博士后如认定为深圳市高层次人才的，可按规定申请人才奖励补贴。

*以上福利待遇均以深圳市政府最新政策为准。

七、应聘方式（来电时请说明是在博士后招聘网看到的信息）

Recruitment material: CV, list of publications, and any portfolio/documentation documenting the previous experience working with robots (video, pictures, links).

Please send the recruitment materials here:

email: peter_bus@sz.tsinghua.edu.cn

Wechat: Peter_Bus

Phone number: +86 131 687 08 107 (only English)

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原文出处：

https://talent.sigs.tsinghua.edu.cn/recruit-fg/job/177/detail?from=PositionList

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