Opening for Research Scientist

Research Scientist Positions (advertised bellow) Filled

We are pleased to announce that we have successfully hired two highly experienced and motivated Research Scientists for our externally funded projects.

The selected researchers have demonstrated outstanding qualifications and will be affiliated with the Emirates Nuclear Technology Center (ENCT) at Khalifa University.

Thank you to all the applicants who expressed interest in these positions. If you are interested in future opportunities, please keep an eye on our website and feel free to reach out to us at mohamed.riahi@ku.ac.ae for any further inquiries.

OLD Annouvement: Research Scientist Opening

As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the Emirates Nuclear Technology Center (https://www.ku.ac.ae/entc) and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.

If interested and self-qualify do not hesitate to contact me at mohamed.riahi@ku.ac.ae.

Quantum-inspired algorithm

We are seeking a highly qualified research scientist to join a collaborative project between Khalifa University (KU) and the Technology Innovation Institute (TII) aimed at bridging the gap between cutting-edge quantum computing technology and its real-life applications to nuclear technology. The successful candidate will be Affiliated with the Emirates Nuclear Technology Center (ENCT) at Khalifa University.

Applicaiton to CFD

Scope of the project:

The project consists of the development of quantum-inspired algorithms, for Partial Differential Equations (PDEs) in view of applications to nuclear reactor simulations. The specific class of quantum-inspired methods on which we will focus is tensor networks. These solvers will be adapted toward the use of full-scale thermohydraulic applications to nuclear technology relevant to the APR14000 at the Barakah power plant.

Responsibilities:

Study and develop quantum-inspired algorithms for PDEs governing the fluid and thermal dynamics in relevant nuclear applications

Implement these algorithms in Python language

Qualifications:

Ph.D. in Computational Mathematics, Theoretical Physics, or a related field, with Postdoctoral experience.

Strong background in partial differential equations (PDE) and their numerical approximation techniques.

Strong programming skills in Python.

Experience with high-performance computing and parallel processing (optional).

Strong analytical and problem-solving skills.

Experience in the field of Tensor Train (Tensor Network), including related publications in peer-reviewed journals, is an asset.

Strong communication skills and ability to work in a collaborative environment.

Knowledge and experience in quantum computing are a plus

Knowledge and experience in computational fluid dynamics are appreciated

Benefits:

3-year contract with possible extension

Competitive salary commensurate with experience This is a first stage of a long-term project, and the successful candidate will have the opportunity to work with leading research institutions in the UAE and contribute to the advancement of the nuclear-energy industry through the application of quantum computing. If this looks like you: Please do not hesitate to send your CV to Dr. Mohamed Kamel Riahi at mohamed.riahi@ku.ac.ae Note: Only shortlisted candidates will be contacted for an interview.

Applicaiton to Neutronics

Scope of the project:

KU is seeking an experienced & highly motivated Research Scientist to work on a funded project to investigate and develop quantum- inspired type algorithms, for solving the neutron transport equation (NTE) in view of applications to nuclear reactor simulations. The specific class of quantum-inspired methods on which we will focus on is tensor networks. The successful Research Scientist will join a collaborative project with Technology Innovation Institute (TII) to develop and implement novel methods and solvers which will be adapted toward the use of full-scale reactor physics applications to nuclear technology relevant to the APR1400. As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the Emirates Nuclear Technology Center (www.ku.ac.ae/entc) and will get an opportunity to work alongside researchers/graduate students from various backgrounds as part of a wider team. This is a 3-year project (with possible extension), and the successful candidate will have the opportunity to work with leading research institutions in the UAE and contribute to the advancement of the nuclear-energy industry through the application of the developed solvers to reactor physics simulations.

Job requirement

PhD from a reputable university in Nuclear Engineering or related discipline

Strong background in nuclear reactor physics and its related numerical techniques

Strong programming skills in Python

Experience with high-performance computing and parallel processing (optional)

Strong analytical and problem-solving skills

Experience in the field of Tensor Train (Tensor Network), including related publications in peer-reviewed journals, is an asset

Strong communication skills and ability to work in a collaborative environment

Knowledge and experience in quantum computing are a plus

Write technical reports and publish research in peer-reviewed journals

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

Benefits:

3-year contract with possible extension

Competitive salary commensurate with experience This is a first stage of a long-term project, and the successful candidate will have the opportunity to work with leading research institutions in the UAE and contribute to the advancement of the nuclear-energy industry through the application of quantum computing. If this looks like you: Please do not hesitate to send your CV to Dr. Saeed Alamiri at saeed.alameri@ku.ac.ae (cc Dr. Mohamed Kamel Riahi at mohamed.riahi@ku.ac.ae) Note: Only shortlisted candidates will be contacted for an interview.

Inverse Modeling and Data assimilation

The successful Research Scientist will join a collaborative project to develop and implement an operational forecasting system based on inverse modeling (and Data Assimilation) techniques for early emergency response management in the UAE. The project will focus on assessing emissions and providing medium-range dispersion forecasts to support real-time monitoring of atmospheric radionuclides at local, national, and regional scales. This is a 2-year project (with possible extension), and the successful candidate will have the opportunity to work with leading research institutions in the UAE and contribute to the advancement of the nuclear-energy industry through the application of inverse modeling techniques. If you are interested in this opportunity, please submit your CV and a cover letter to Dr. Mohamed K. Riahi at mohamed.riahi@ku.ac.ae We are an equal opportunity employer and we encourage all qualified candidates to apply. Ku offers a generous salary, which will be commensurate with experience.

Study and develop inverse modeling techniques for assessing radioactive releases during an accidental radiological situation

Implement these techniques in a software system designed to assess emissions and provide medium-range dispersion forecasts

Collaborate with experts in environmental radiation measurements and state-of-the-art numerical tools for weather prediction and atmospheric dispersion

Contribute to the development of local capacities and skills in the area of inverse modeling for emergency response management

Write technical reports and publish research in peer-reviewed journals

Essential Criteria

Ph.D. from a reputable university in Data Assimilation, or Computational Mathematics/physics, Mathematical Modeling or a related discipline

At least four (4) years of post-doctoral research experience

Expert-level knowledge project subject area as evidenced by relevant publications and or patents

Strong programming skills in at least one programming language such as Python, C/C++, or Fortran

Experience in the field of atmospheric radioactive release assessment and emergency response management is a plus

Excellent English language communication skills (verbal and written)

Ability to work both independently and as part of a team

The proven ability to lead 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

The successful Research Scientist will join a collaborative project to develop and implement an operational forecasting system based on inverse modeling (and Data Assimilation) techniques for early emergency response management in the UAE. The project will focus on assessing emissions and providing medium-range dispersion forecasts to support real-time monitoring of atmospheric radionuclides at local, national, and regional scales. As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the Emirates Nuclear Technology Center (https://www.ku.ac.ae/entc) and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.