Description

KU is seeking a highly motivated Post-doctoral Fellow to work on the development of conducting machine learning models and techniques for waste heat recovery and CO2 capture systems. The candidate will develop models and design technologies for waste heat recovery systems like the Organic Rankine cycle (ORC), Kalina cycle, Sterling engine, Absorption cycle, and Carbon Capture Systems (CCS) integrated systems including high-grade, mid-grade, and low-grade waste heat from heavy industries like aluminum and steel industries. The candidate also needs to work on existing potential technologies and implement machine-learning ideas for automation and performance enhancement. The core part of the position is to work with Ph.D. and MSc. students and a researcher having core industrial and modeling expertise.

As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the Virtual Research Institute (VRI) and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.

Qualifications

• In-depth knowledge and adequate experience in Machine-Learning modeling and technologies.
• Technical experience in developing thermodynamics system modeling on Aspen, Transys, and Matlab or Equivalent software.
• Experience in developing system component design using CFD software.
• Able to work on interdisciplinary research.
• Having demonstrated autonomy and teamwork skills.
• Excellent technical written English and oral communication skills.
• 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

• Ph.D. from a reputable university in Mechanical Engineering or related discipline.
• Experience writing scientific or review papers.
• 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

• Ph.D. gained from a top 200 QS or THE ranked University
• At least one year of relevant experience as a Post-doctoral researcher in academia or in industry.
• High-impact first-author publications in the 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
Job Level: Day Job

Times Higher Education