Publisher
source

King Fahd University of Petroleum and Minerals

Postdoctoral Fellowship in Quantum Information Sciences King Fahd University of Petroleum and Minerals in Saudi Arabia

Degree Level

Postdoc

Field of study

Computer Science

Funding

The post advertises a postdoctoral fellowship opportunity and refers candidates to a separate link for more details and benefits; no stipend amount or funding specifics are stated in the post itself.

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Country

Saudi Arabia

University

King Fahd University of Petroleum and Minerals

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Keywords

Computer Science
Mathematics
Quantum Communication
Physics

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About this position

King Fahd University of Petroleum and Minerals (KFUPM) is advertising a Postdoctoral Fellowship in Quantum Information Sciences within Junaid ur Rehman’s research group. The post is aimed at highly motivated candidates interested in cutting-edge work in a vibrant and growing quantum ecosystem in Saudi Arabia.

Research areas mentioned include Quantum Information Theory, Quantum Communications and Networking Theory, Quantum Algorithm Design for Optimization, and Quantum and Quantum-inspired Machine Learning. This is a strong fit for applicants with backgrounds in physics, computer science, and mathematically oriented quantum research.

The post requests a CV and a list of publications by email. The announcement also points to a separate link for more details and benefits. No deadline, stipend amount, or full funding breakdown is stated in the post itself.

Applicants should review the linked information and contact [email protected] if interested.

Funding details

The post advertises a postdoctoral fellowship opportunity and refers candidates to a separate link for more details and benefits; no stipend amount or funding specifics are stated in the post itself.

What's required

Candidates should be highly motivated postdoctoral researchers with expertise in one or more of the following: quantum information theory, quantum communications and networking theory, quantum algorithm design for optimization, or quantum and quantum-inspired machine learning. A CV and list of publications are requested.

How to apply

Send your CV and a list of publications by email to [email protected]. Check the linked details page for more information on benefits and application specifics.

More information can be found here

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