Post Doctoral Fellow

Abu Dhabi, United Arab Emirates

Job Description

About Khalifa University

Khalifa University is ranked 181st in the QS World University Rankings 2023, and the top University in the UAE, with a range of research and academic programs designed to address the entire range of strategic, scientific and industrial challenges facing our rapidly evolving world.

Its world-class faculty and state-of-the-art research facilities provide an unparalleled learning experience to students from the UAE and around the world. Our research and academic activities cover a broad range of disciplines in engineering, science and medicine through our three colleges.

Khalifa University\'s research relates to key focus sectors of relevance to the UAE\'s strategic economic growth and the technology platforms that serve as foundations for these sectors. The University\'s research priorities are addressed in two categories \xe2\x80\x9cverticals\xe2\x80\x9d and \xe2\x80\x9chorizontals\xe2\x80\x9d which jointly cover specific industry and sector needs, technical platforms and expertise.

KU\'s focus sectors are Clean and Renewable Energy, Hydrocarbon Exploration and Production, Water and Environment, Healthcare, Aerospace, and Supply Chain and Logistics. Research in these sectors is enhanced by our research platforms of Robotics, AI and Data Science, Information and Communication Technologies, and Advanced Materials and Manufacturing as well as Fundamental Sciences.

Position Overview

KU is seeking a highly motivated Post-doctoral Fellow to develop computational methods that can guide discovery of new materials and can perform first-principles calculations and reaction Kinetics of nitrogen Reduction Reaction (NRR). The project will develop the use of crystal structure prediction to guide computer-led discovery of new inorganic oxynitrides for nitrogen reduction reaction (NRR). The candidate will develop software tools and be involved in collaborations with lab-based materials discovery, where the computational results are used to guide experimentalist to synthesis of oxynitrides. The candidate must have the ability to manage their workload and research data and to publish scientific results promptly.

Qualifications

Position Requirements
  • Applicants should hold a PhD degree in Physics, Chemistry, Materials Science, or a related discipline. We are looking for candidates with an enthusiasm for research, multidisciplinary collaboration and tackling challenging problems through teamwork. You should have experience with crystal structure prediction methods. Experience with computational Physics/Chemistry and programming would be an advantage, as well as excellent communication skills.
  • Extensive expertise in catalytic reaction mechanism with and thorough knowledge of ab-initio methods.
  • The candidate should have high proficiency with LINUX and Python with an ability to communicate effectively orally and in writing, and able to work independently and willing to collaborate with members of the team.
  • Adhere to the University\'s information security and confidentiality policies and procedures, and report breaches or other security risks accordingly.
  • Perform any other tasks assigned by the Line Manager
Candidate Profile

Essential Criteria
  • PhD from a reputable university in Physics/Material Science/Nanotechnology or related discipline.
  • A willingness to contribute to a collaborative and supportive team culture
  • Excellent English language communication skills (verbal and written)
  • Ability to work both independently and as part of a team
  • The proven ability to work on multiple tasks with competing demands and deadlines.
  • Ability to train and mentor students and support fellow researchers
  • Highly developed reasoning and problem-solving skills
Desired Criteria
  • PhD gained from a top 200 QS or THE ranked University
  • At least 1-2 years of relevant experience as a post-doctoral researcher in academia or in industry.
  • High impact first-author publications in top 10% journals in the relevant field
Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ( ).

Primary Location: Abu Dhabi UAE
Job: Post Doctoral Fellow
Schedule: Regular
Shift: Standard
Job Type: Full-time

Times Higher Education

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Job Detail

  • Job Id
    JD1610567
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Abu Dhabi, United Arab Emirates
  • Education
    Not mentioned