Global Recruitment - Entrepreneur Lecturer/Associated Professor/Professor for Urban Water Engineering (NUIST, China)

To enhance our research and business development at the newly established institute - Delta Smart Water Institute (Department of Smart Water System in preparation), College of Hydrology and Water Resources of the Nanjing University of Information Science and Technology (NUIST) is seeking outstanding candidate for multiple vocations at Lecturer/Associated Professor/Professor levels. NUIST is encouraging young candidates with entrepreneurship to apply.

The institute is established in 2018 as a joint venture between the university and local government in Nanjing, to address the issues and challenges of underdeveloped water and wastewater infrastructure. The research area includes but not limited to pollution control of combined/separated sewer system, modelling of pipe network, leakage control, infiltration and inflow study, pipe inspection technology, trenchless pipe technology, pipe robotics, IoT for urban water system. Both fundamental and applied research is undertaken in the institute, with a strong industry orientation.

The successful applicant will play a role in the application of knowledge that will contribute to urban water modelling and planning, data analytics, water/wastewater software development, pipe robotics and trenchless technology.

The successful applicant will be secured with a government paid faculty position, while working full-time at the institute. An additional attractive bonus package with minimum 200K per annum will be offered by the institute. The successful candidate will also be involved in setting up of the new academic department - Department of Smart Water Systems of College of Hydrology and Water Resources. The institute will support the candidate to apply for national and provincial talent funding program.

To be successful you will need:

  • PhD in in a related discipline with extensive experience and track record in the field of urban water engineering, software engineering or electronics.
  • Evidence of an inspirational leadership style that promotes a culture of engagement, collaboration, commitment and performance.
  • Ability to develop research programs of significant scope and scale.
  • Ability to consistently secure research funding from national and provincial competitive agencies.
  • Demonstrated ability to forge meaningful external relationships with relevant stakeholders.
  • Evidence of curriculum development and teaching at undergraduate and/or postgraduate level.

For a confidential discussion regarding this position, contact:
Ms. Yi Liu, +86 138 5174 8114 (wechat)

Position 1: Lecturer/Professor of water supply and drainage

Job Description

The key job responsibilities of the successful candidate include:
 The position focuses at reliable modelling of stormwater and sewer system - calibration, validation and uncertainty assessment. The work will include code development with Fortran/C/C++ or other programming languages, evaluation of various mathematical models on the basis of field data and by the development of procedures for model calibration and uncertainty assessment. The work will also include laboratory studies and field work.


The applicant shall hold a PhD in urban water engineering, environmental engineering, civil engineering or equivalent, if a sufficient mathematical background can be proven. Knowledge in the fields of urban water engineering, hydraulics, (urban) hydrology is also required. Further skills needed are the ability to work independently and take own initiatives as well as independently penetrate new research areas. Moreover, English language skills are required to facilitate presentation of research outcomes in international conferences and scientific papers.

Position 2: Lecturer/Professor of Hydrology or Hydraulics

Job Description

The key job responsibilities of the successful candidate include:

  • Research: Delivering high quality, internationally leading research in the field of rainfall-runoff modeling, hydraulics, fluid mechanics and/or computational fluid dynamics (CFD) applied to urban water systems including pipe network and river system. Candidates with expertise and experience in related numerical modelling and/or experimental work with associated measurement methods will be considered. The potential research areas include but are not limited to: sediment accumulation / erosion and multi-phase flow in innovative urban drainage infrastructure; optimal heat and mass flow in joint urban conduits, pipeline condition assessment using hydraulic transients. Co-supervising PhD and MSc students and bringing them to a successful completion and disseminating research outcomes effectively via internationally leading journals and conferences is integral part of the job.
  • Education: Organizing, initiating and contributing to the development and delivery of undergraduate and postgraduate taught courses. Supervising BSc and MSc students, preparing and assessing student projects, assignments and exam papers and sharing the workload in the group.
  • Valorization: Initiating projects and obtaining funding for new research and/or education projects. We encourage proactive engagement with both government and private sectors, i.e. industry, business and community partners to deliver the impact.
  • Organization: Contributing to organizational / administrative activities and committees within the Delta Smart Water Institute and the College of Water Resources and Hydrology.


The successful candidate: (i) holds a PhD or equivalent degree in civil or mechanical engineering, applied mathematics/physics or a related field of science / engineering; (ii) has proven ability in coding; (iii) possess a good understanding of the higher education environment including diversity and inclusivity values; (iv) has the capacity to communicate effectively with peers, students and stakeholders.

Position 3: Lecturer/Professor of smart sensors in water supply and sewer networks

Job Description

This position will focus on development and application of smart sensors for water supply and sewer networks. The candidate is to develop wireless sensor network capabilities to enable high date rate, real time monitoring of a large urban water distribution system. Assimilate real time measurements into hydraulic models to improve state estimation, and Monitor hydraulic and water quality parameters enabling remote detection of leaks and real-time tracking of contamination events.


The successful candidate shall hold a PhD or equivalent degree in civil or mechanical engineering, applied mathematics, electronics, computer engineering related to either optical sensors, MEMS and/or machine learning methods. Applicants must have a proven product R&D track record, and demonstrate strong organisation and inter personal skills required to work in the multidisciplinary project team.

Position 4: Lecturer/Professor of AI and Big-Data for water science

Job Description

This position is looking for qualified, creative and motivated scientists to lead research on the applications of machine learning to urban water, hydrology and water quality. The candidate will be part of an interdisciplinary team of faculty with expertise in water quality, hydrology and computer science. The position will focus on analysis of multiple real-time sensor data and historic time series for system diagnosis, the real-time prediction, and the integration of environmental data sets and physics-based models using machine learning, statistic models and data assimilation technologies.


  • A PhD degree in science or engineering
  • Extensive knowledge of computer science and or data science, particularly applications of machine learning/artificial intelligence to environmental data sets, including remote sensing
  • Experience with spatial analysis and knowledge of GIS approaches
  • Ability to communicate effectively and collaborate across scientific domains
  • Eagerness to publish research in scientific journals and present research at relevant scientific and agency meetings
  • Background in civil or environmental engineering, water resources or hydrology is desired, but this is not a strict requirement