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Akhlesh Lakhtakia

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Postdoctoral Scholar in Computational Optoelectronics and Applied Mathematics The Pennsylvania State University in United States

Degree Level

Postdoc

Field of study

Electrical Engineering

Funding

Available

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Country

United States

University

Pennsylvania State University

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Keywords

Electrical Engineering
Materials Science
Mathematics
Computational Science
Photovoltaic
Pde
Physics
Finite Element Analysi
Applied Mathematic

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About this position

This postdoctoral position is based in the Lakhtakia research team in the College of Engineering at The Pennsylvania State University, within the Department of Engineering Science and Mechanics. The project sits at the intersection of computational optoelectronics, mathematical modeling, and numerical simulation, with a focus on integrated energy microgenerators containing compound semiconductors.

The scholar will work under the direction of Prof. Akhlesh Lakhtakia and collaborate with Prof. Anna Mazzucato in Mathematics at Penn State, Prof. Peter B. Monk in Mathematics at the University of Delaware, and a postdoctoral scholar at the University of Delaware. The research program is highly interdisciplinary, combining applied mathematics, semiconductor physics, and scientific computing to study coupled optical and electronic processes in device systems.

Research activities include building and analyzing two- and three-dimensional models for optical and electronic behavior, developing high-order numerical methods for semiconductor drift-diffusion and Maxwell systems, and studying how grain boundaries, defects, interfaces, material properties, and illumination conditions affect carrier transport, recombination, and device performance. The work also includes mathematical analysis and optimization of bandgap profiles, layer thicknesses, device geometry, and tandem integrated energy microgenerator configurations.

The role is strongly software- and computation-oriented, with responsibilities that include implementing and improving finite-element and discontinuous-Galerkin tools in Python, carrying out computational validation, and preparing research outputs such as manuscripts, conference presentations, technical documentation, and research software. The project is collaborative and spans multiple institutions and research areas.

Funding details

Available

What's required

A Ph.D. by the time of appointment in applied mathematics, computational mathematics, electrical engineering, engineering science, physics, computational science, or a closely related field is required. Preferred qualifications include demonstrated experience in numerical analysis, scientific computing, partial differential equations, finite-element or discontinuous-Galerkin methods, and computational modeling; experience with semiconductor models, drift-diffusion systems, Maxwell equations, optoelectronics, photovoltaics, optimization, or machine learning; proficiency in Python and familiarity with version control and high-performance computing; excellent written and oral communication skills; ability to work independently and collaboratively in a multidisciplinary team; initiative, organization, problem-solving ability, and commitment to reproducible research. A record of peer-reviewed publications, conference presentations, dissertations, software, or other scholarly work is also preferred.

How to apply

External applicants should click Apply in Workday and complete the online application. Current Penn State employees and current Penn State students must apply internally through Workday. Review the Workday instructions before submitting.

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Professors

Prof. at The Pennsylvania State University

University Name
Country flag

United States

Research Interests

Materials Science

Mathematics

Photovoltaic

Electrical Engineering

Applied Mathematic

Prof. at The Pennsylvania State University

University Name
Country flag

United States

Research Interests

Computational Science

Electrical Engineering

Finite Element Analysi

Materials Science

Photovoltaic

Prof. at The Pennsylvania State University

University Name
Country flag

United States

Research Interests

Computational Science

Finite Element Analysi

Electrical Engineering

Pde

Materials Science