physics professor

King Abdullah University of Science and Technology

179324
<br><div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Energy Resources and Petroleum Engineering (Postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Dec 18, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The design of industrial membrane separation materials requires advanced computation methods, such as computational fluid dynamics and computational chemistry, to design, analyze, and predict the properties and performance of these materials. This area also requires experimental studies by providing insights from molecular levels to continuous pore scale level. The modeling of porous membrane usually requires computationally expensive modeling approaches such as molecular dynamics simulations (MD), computational fluid dynamics (CFD) to understand how porous structures and operating conditions can impact membrane performance. Therefore, this objective of this research is develop efficient algorithms and models based on deep learning to accelerate the physics simulation for membrane relevant processes, which can be based on physics-informed neural network, data-driven models, and hybrid simulation models. These developed models can ultimately be deployed for industrial applications of membrane design and manufacturing processes.</p>
<p>
The successful candidate will be based at Inorganic Membranes Research Group at KAUST, under the leadership of Professor Zhiping Lai, and will collaborate closely with Professor Bicheng Yan (KAUST).</p>
<p><b>
Benefits:</b></p>
<p>
Applications are sought for a one-year postdoc position (extendable). The position will include a competitive salary based on the candidate&rsquo;s qualifications; benefits include medical and dental insurance, free furnished housing on the KAUST campus, annual travel allowance to visit home country, annual paid vacation, and other generous benefits.</p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><p><b>Education:</b></p>
<p>
A Ph.D. degree in computational mathematics, computational mechanics, computational chemistry, machine/deep learning or closely related fields. The candidate must have completed all Ph.D. requirements by commencement of the appointment and be within 5 years of completion of the Ph.D.</p>
<p><b>
Minimum Job Requirements:</b></p>
<p>
(1) Experience in computational mechanics, computational chemistry for membrane materials</p>
<p>
(2) Experience with code development</p>
<p>
(3) Publications in refereed journals and record of successful research in a collaborative team environments</p>
<p><b>
Desired Qualification:</b></p>
<p>
(1) Experience with Python, Julia</p>
<p>
(2) Experience in scientific machine learning, deep learning and computer vision</p>
<p>
(3) Experience in developing physics simulation models with FEniCS, COMSOL, Ansys</p></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><p><b>How to Apply?</b></p>
<p>
Please send the following documents as a package and directly email to Prof. Zhiping Lai by zhiping.lai@kaust.edu.sa and Prof. Bicheng Yan by bicheng.yan@kaust.edu.sa with email title: PorousMaterial_Postdoc_Applicant_FirstName_LastName,</p>
<div>
1. CV;</div>
<div>
2. Cover letter highlighting your research experience and justification to fit this position;</div>
<div>
3. List of publications;</div>
<div>
4. Copy of your official Ph.D. degree;</div>
<div>
5. Three contacts of reference;</div>
<p>
6. Indication of your earliest available date.</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Scientific Machine Learning to Simulate Complex Physics Processes in Porous Materials

Dreammithra Pvt Ltd

<p><b>Hiring: Physics Teacher</b></p><p><b>Work Location:</b> Across Karnataka<br/><b>Salary:</b> ₹15,000 &ndash; ₹25,000 per month</p><p>Key Duties:</p><ul><li>Handle Physics classes for assigned grades</li><li>Deliver concepts using simple explanations and examples</li><li>Conduct tests, assignments, and practical sessions</li><li>Support students with doubts and exam preparation</li><li>Follow school academic guidelines and schedule</li></ul><p>Eligibility:</p><ul><li>B.Sc / M.Sc in Physics or equivalent qualification</li><li>Teaching certification (B.Ed) is an advantage</li><li>Freshers and experienced candidates can apply</li><li>Good subject knowledge and communication skills</li></ul><p>Experience:</p><ul><li>0&ndash;4 years</li></ul><p>CONTACT HR MARIAM</p><p>9364678642</p><p>Job Type: Full-time</p><p>Pay: ₹15,000.00 - ₹25,000.00 per month</p><p>Work Location: In person</p>

Physics Teacher

YO IT CONSULTING

<div><h2 class="jobSectionHeader"><b>1. Role Overview</b></h2>
<p>Collaborating with a leading AI research lab on a project to advance frontier physics problem-solving. We are looking for physics experts who hold a <b>PhD or Master&rsquo;s degree</b>, or have experience participating in the <b>International Physics Olympiad (IPhO)</b>. The goal of this project is to <b>create novel, clear, and challenging Olympiad-style physics problems</b> that cause the frontier AI models to fail (i.e. generate an incorrect response) and support the training of cutting-edge AI models.</p>
<p>This is a short-term, high impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance.</p>
<h2 class="jobSectionHeader"><b>2. Key Responsibilities</b></h2>
<ul><li><p>Write <b>original &amp; advanced IPhO-style physics</b> problems to challenge frontier AI models</p>
</li><li><p>Evaluate AI-generated solutions for <b>correctness, clarity and style</b> and identify where models fail</p>
</li><li><p>Identify <b>logical flaws, incomplete reasoning, or insufficiently-rigorous proofs</b></p>
</li><li><p>Provide <b>clear, concise, and correct solutions &amp; chain of thought reasoning</b> using proper LaTeX formatting</p>
</li><li><p>Maintain extremely high standards of precision and problem difficulty</p>
</li></ul><h2 class="jobSectionHeader"><b>3. Required Qualifications</b></h2>
<p><b>Note: Applicants must be highly proficient in writing and formatting documents using LaTeX</b></p>
<p>You are a good fit for the project if you have any of the following experiences:</p>
<ul><li>Have a <b>Master&rsquo;s or PhD in physics</b> (or a related field), or are an <b>Olympiad participant or medalist</b> in the IPhO (preferred) or equivalent competitions (RPhO, CPhO, APhO, EuPhO, USAPhO, BPhO, INPhO, JPhO, UPC, IYPT, CUPT).</li>
</ul><p><b>Other qualifications:</b></p>
<ul><li><p>Deep understanding of your domain&rsquo;s <b>core theoretical and experimental concepts</b></p>
</li><li><p>Ability to <b>articulate reasoning and derivations</b> clearly in written form</p>
</li><li><p>Strong ability to evaluate the rigor and complexity of physics problems</p>
</li><li><p>Rigorous attention to detail in verifying solutions</p>
</li></ul><h2 class="jobSectionHeader"><b>4. More About the Opportunity</b></h2>
<ul><li><p>Expected commitment: 20 hours/week minimum; up to 40 hours/week available</p>
</li><li><p>Approximate project length: ~2 months, with extension potential</p>
</li><li><p>Rolling start dates; setup typically within 1&ndash;2 days of approval</p>
</li></ul><h2 class="jobSectionHeader"><b>6. Application Process</b></h2>
<ul><li><p>Submit your resume or CV highlighting physics background and relevant achievements</p>
</li><li><p>Complete a brief interview (20&ndash;30 minutes)</p>
</li><li><p>Submit a short form detailing your experience writing problems and competing in physics competitions</p>
</li><li><p>Selected applicants will be contacted within a few days with next steps</p></li></ul></div>

Physics Expert - Remote

<div><div><div><h2 class="jobSectionHeader"><b>Role Overview</b></h2>
<p>Collaborating with a leading AI research lab on a project to advance frontier physics problem-solving. We are looking for physics experts who hold a <b>PhD or Master&rsquo;s degree</b>, or have experience participating in the <b>International Physics Olympiad (IPhO)</b>. The goal of this project is to <b>create novel, clear, and challenging Olympiad-style physics problems</b> that cause the frontier AI models to fail (i.e. generate an incorrect response) and support the training of cutting-edge AI models.</p>
<p>This is a short-term, high impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance.</p>
<h2 class="jobSectionHeader"><b>2. Key Responsibilities</b></h2>
<ul><li><p>Write <b>original &amp; advanced IPhO-style physics</b> problems to challenge frontier AI models</p>
</li><li><p>Evaluate AI-generated solutions for <b>correctness, clarity and style</b> and identify where models fail</p>
</li><li><p>Identify <b>logical flaws, incomplete reasoning, or insufficiently-rigorous proofs</b></p>
</li><li><p>Provide <b>clear, concise, and correct solutions &amp; chain of thought reasoning</b> using proper LaTeX formatting</p>
</li><li><p>Maintain extremely high standards of precision and problem difficulty</p>
</li></ul><h2 class="jobSectionHeader"><b>3. Required Qualifications</b></h2>
<p><b>Note: Applicants must be highly proficient in writing and formatting documents using LaTeX</b></p>
<p>You are a good fit for the project if you have any of the following experiences:</p>
<ul><li>Have a <b>Master&rsquo;s or PhD in physics</b> (or a related field), or are an <b>Olympiad participant or medalist</b> in the IPhO (preferred) or equivalent competitions (RPhO, CPhO, APhO, EuPhO, USAPhO, BPhO, INPhO, JPhO, UPC, IYPT, CUPT).</li>
</ul><p><b>Other qualifications:</b></p>
<ul><li><p>Deep understanding of your domain&rsquo;s <b>core theoretical and experimental concepts</b></p>
</li><li><p>Ability to <b>articulate reasoning and derivations</b> clearly in written form</p>
</li><li><p>Strong ability to evaluate the rigor and complexity of physics problems</p>
</li><li><p>Rigorous attention to detail in verifying solutions</p>
</li></ul><h2 class="jobSectionHeader"><b>4. More About the Opportunity</b></h2>
<ul><li><p>Expected commitment: 20 hours/week minimum; up to 40 hours/week available</p>
</li><li><p>Approximate project length: ~2 months, with extension potential</p>
</li><li><p>Rolling start dates; setup typically within 1&ndash;2 days of approval</p>
</li></ul><h2 class="jobSectionHeader"><b>6. Application Process</b></h2>
<ul><li><p>Submit your resume or CV highlighting physics background and relevant achievements</p>
</li><li><p>Complete a brief interview (20&ndash;30 minutes)</p>
</li><li><p>Submit a short form detailing your experience writing problems and competing in physics competitions</p>
</li><li><p>Selected applicants will be contacted within a few days with next steps</p>
</li></ul><p>We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Contract and Payment Terms</b></h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Your work at will not involve access to confidential or proprietary information from any employer, client, or institution.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div>

Physics Expert - Ai Research

Narayana e Techno school - Medavakkam branch

<p>Dear candidate,</p><p>Job openings for Robotics teacher</p><p>Minimum 1 years of teaching experience in relevant subject.</p><p>We are seeking an enthusiastic and skilled Robotics Teacher with a strong Physics background to teach robotics, coding, and STEM concepts to school students. The candidate should be able to design and deliver engaging, hands-on learning experiences that integrate science, technology, and innovation.</p><p>Job Type: Full-time</p><p>Pay: ₹20,000.00 - ₹25,000.00 per month</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Experience:</p><ul><li>total work: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

Mantram Study Group

<p>IMMEDIATELY Required - Physics Teacher, to Teach Students of +1 and +2 (NCERT) and (NEET) Level (Male/ Female) (Online/Offline Tutor) for part time work. Contact Mantram Nursing Academy in Sector 15-D, Chandigarh.</p><p>Job Types: Full-time, Part-time</p><p>Pay: ₹20,000.00 - ₹40,000.00 per month</p><p>Work Location: In person</p>

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