Ping LU

Prof. Ping LU, 路平

  • YEUNG-B6310

Accepting PhD Students

Calculated based on number of publications stored in Pure and citations from Scopus
20172025

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0001-6224-253X
Scopus Author ID: 57193889631

Impact

Biography

Ping Lu is an Assistant Professor at the Department of Architecture and Civil Engineering, City University of Hong Kong. She received her BSc in Environmental Engineering from Tsinghua University and PhD in Civil and Environmental Engineering from Princeton University. Her research has been focused on tropical cyclone risk assessment, rainfall mechanisms, eyewall replacement, rapid intensification (as well as internal dynamical constraints of storm intensity), and hazards risk assessment. 

Position(s) Available

Postdocs

I'm seeking two full-time postdocs to join my group. 

You’ll contribute to:

  • Building a global eyewall replacement cycle (ERC) dataset using multi-source observations/modeling.
  • Investigating ERC mechanisms and their impact on storm intensity evolution.
  • Analyzing associated hazards (e.g., rainfall, storm surges) for risk assessment.

I'm looking for: Strong background in data analysis, scientific programming (Python/Matlab/R), and at least one of:

  • Climate datasets (e.g., reanalysis, satellite)
  • WRF simulations of TCs
  • Storm surge modeling (e.g., ADCIRC, Delft3D)

The initial appointment is for one-year, with the possibility of renewal subject to performance and continued funding. Salary aligns with Hong Kong/RGC standards, commensurate with experience and qualifications.

How to apply: Send to Prof. Ping Lu ([email protected]): CV, 2-page research statement (outlining your expertise and interest + how you’d contribute), and 1–2 representative papers

 

PhD Students

I am seeking highly motivated Ph.D. students and RAs to join my research group in the Department of Architecture and Civil Engineering at City University of Hong Kong. The research will fall within the topic of tropical cyclone risk assessment. Of particular interests are tropical cyclone eyewall replacement, rapid intensification, rainfall mechanisms, topographic effect and flooding. Applicants with other relevant research ideas are encouraged to discuss with me. 
 

I am open to other tropical cyclone related topics and encourage all qualified applicants to contact me at [email protected]

(I'm also looking for full-time or part-time RAs with similar interests.)

Required Qualifications:

  • Candidates must have Bachelor or Master degree (before PhD entrance) in an engineering field, geography, atmospheric or climate-related science, applied statistics or math.
  • For students from non-English speaking institutions, CityU requires proof of English proficiency obtained within last two years (minimum score of 79 in TOEFL, 6.5 in IELTS or 490 in CET Band 6 may be accepted).
  • Candidates with experience in modeling tropical cyclones using WRF are strongly encouraged to apply.
  • Candidates with experience in tropical cyclone dynamics or mesoscale dynamics are strongly encouraged to apply.
  •  
  • Candidates with good knowledge of computer programming (in particular Matlab) and experience in processing and analyzing large data sets and model outputs are strongly encouraged to apply.
  • 大陆学生本科或硕士毕业于985/211/双一流,平均分85分以上,通过学校招生审核的几率较大。
  • 博士后、研究助理职位不受上条限制,欢迎咨询。
  • 已在大陆学校就读的研究生,若就读学校与香港城市大学有联合培养计划,欢迎申请联合培养。联合培养的学生在香港的待遇与城市大学普通博士生相同,并且可同时获得内地大学与香港城市大学两个博士学位。联合培养一般每年10-12月申请,次年9月入学,具体要求因学校而异。联合培养不受上上条限制,欢迎咨询。

Benefits

  • standard stipend of HK$17,510 (~US$2,240) per month
  • Our research group will willingly cover the expenses of conferences or other research activities. CityU also offers additional student grant, fund and fellowship based on academic / research performance.

Teaching

Undergrad Courses

CA2675 Fluid Mechanics

CA2066 Professionals and Society

CA3417 Management for Construction

 

Grad Courses

CA5104 Management Workshop

CA5018 Modelling and Computational Techniques for Built Environment

CA6110 Statistical Methods and Data Analytics

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land
  • SDG 17 - Partnerships for the Goals

Related Links

Education/Academic qualification

PhD, Princeton University

BEng, Tsinghua University

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