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Professor of Data Science for Energy Engineering

Employer
KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY
Location
Thuwal, Saudi Arabia
Closing date
25 Nov 2020

Location King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

Description

We seek a candidate in the area of applying data science and applied mathematics towards designing advanced thermal energy systems and industrial processes. The candidate should have demonstrated expertise in one or more of the following areas: developing numerical methods for high-performance scientific computing, numerical linear algebra, fast algorithms, parallel computing, and machine learning with applications in complex non-linear dynamical engineering systems. Candidates with proven scholarship at the intersection of physical modeling with statistical inference will be given preference, including computation methodologies for uncertainty quantification, inverse problems, large-scale Bayesian computation, and optimal experimental design in complex physical systems.

The Physical Science and Engineering Division comprises seven Degree Programs: Material Science and Engineering, Applied Physics, Earth Science and Engineering, Energy Resources and Petroleum Engineering, Chemical Science, Chemical Engineering, and Mechanical Engineering. These disciplines provide the foundation for our Division's quest to address some of the major challenges that we face in the world today, including those related to energy and the environment. Specifically, our faculty members and their research teams work on photovoltaics, super capacitors, porous materials, clean combustion, atmospheric modeling and other topics. 

PSE division invites applications for faculty position at Assistant and Associate Professor ranks.  Female candidates will be strongly encouraged to apply.

Qualifications

A relevant Ph.D. degree. Proven track record in managing a research group as well as publishing high-impact papers.

Teaching and service responsibilities

Commitment to high-quality teaching at the graduate level, including generally two courses per academic year. Active service to KAUST on all aspects of academic life. 

Research Responsibilities

The University offers access to multiple sources of research funding to its Principal Investigators. The successful applicant should have an established record of publishing high-impact papers, and is expected to create a thriving research program including engaging in national and international scientific collaborations.

Application Instructions

Applicants are required to complete an online application form using the Interfolio online application system (https://www.kaust.edu.sa/en/about/faculty-positions).  To prevent any delays in reviewing your application, you will need to upload the following materials:

  • A cover letter, introducing your candidacy, and explicitly stating both the position and the rank (Assistant, Associate, Full) that the candidate is applying for, is required. The rank must be consistent with the candidate experience.
  • Up-to-date curriculum vita which includes full publication list
  • Statement of research interests
  • Statement of teaching interests
  • A list of the names/affiliation and contact details of at least six potential referees
  • Copies of most relevant publications (Maximum of five)
  • Two citation reports (Web of Science and Scopus)

PLEASE NOTE: 

Only complete applications submitted through the online application system will be considered. Applications received by the advertised deadline will receive full consideration. However, positions will remain open until filled.

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