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Research Projects

Projects are posted below; new projects will continue to be posted through February. To learn more about the type of research conducted by undergraduates, view the 2017 Research Symposium Abstracts.

This is a list of research projects that may have opportunities for undergraduate students. Please note that it is not a complete list of every SURF project. Undergraduates will discover other projects when talking directly to Purdue faculty.

You can browse all the projects on the list, or view only projects in the following categories:

Physical Science


A light-weight silicon pixel detector for the CMS detector at the Large Hadron Collider

Research categories:  Electronics, Material Science and Engineering, Physical Science
School/Dept.: Physics & Astronomy
Professor: Andreas Jung
Preferred major(s): Physics (minor or experience in Electrical and/or Mechanical Engineering)
Desired experience:   Experience with labview is of advantage as well as a general understanding of at least one programming language. Existing experience with analysis of data and interpretation, e.g. linear regression / trend analysis.

The Large Hadron Collider will be upgraded to provided a unprecedented number of hadronic interactions, which will be used to search for any deviation from the standard model theory of particle physics. In order to withstand the large number of hadronic interaction also the CMS detector needs to be upgraded. The proposed summer research project contributes to the upgrade of the forward pixel detector in the very heart of the CMS detector.

Candidates join my lab/group working on data taking and testing of silicon detector prototypes and their support prototypes in our local two-phase CO2 cold box setup. The project includes data taking, preparation & hands-on assembly of prototypes, as well as data analysis. There is also possibilities to carry out the thermal finite element analysis needed to simulate the thermal behavior of our prototypes. Experience with labview is of advantage as well as a general understanding of at least one programming language. Most important is being enthusiastic for the research project.


Experimental Optics of Quantum Emitters

Research categories:  Nanotechnology, Physical Science
School/Dept.: Electrical and Computer Engineering
Professor: Zubin Jacob
Preferred major(s): Physics or Electrical Engineering
Desired experience:   One course on electromagnetic waves. Experimental experience in machining, optics, instrument control, microcontroller programming, instrument-matlab interfaces etc. is very useful.

This project deals with understanding optical properties of quantum emitters. The undergraduate student will work in the Birck Nanotechnology Center Experimental laboratory in Quantum Optics. This work can lead to novel light sources with quantum properties beyond traditional lasers. It is expected that the student will have considerable interest in daily experimental work in understanding lenses, mirrors, aligning lasers, machine-shop 3D printing etc. etc. The interested student will work with a team of motivated PhD students and post-doctoral scholars for a productive summer. More details can be found at


Multiphase Fluid Flows in Tight Spaces

Research categories:  Bioscience/Biomedical, Chemical, Computational/Mathematical, Physical Science
School/Dept.: Mechanical Engineering
Professor: Ivan Christov
Preferred major(s): Mechanical Engineering, Chemical Engineering, Applied Mathematics, Computational Science
Desired experience:   1. Thorough understanding of undergraduate fluid mechanics. 2. Programming experience with high-level language such as Python or MATLAB. 3. Experience with shell/command-line environments in Linux/Unix; specifically, remote login, file transfers, etc. 4. Experience researching difficult questions whose answers are not found in a textbook. 5. Desire to learn about new fluid mechanics phenomena and expand computational skillset.

Multiphase flows are fluid flows involving multiple fluids, multiple phases of the same fluid, and any situation in which the dynamics of an interface between dissimilar fluids must be understood. Examples include water displacing hydrocarbons in secondary oil recovery, a mixtures of particle-laden fluids being injected into a hydraulically fractured reservoirs ("fracking"), introduction of air into the lungs of pre-maturely born infants to re-open their liquid-filled lungs and airways, and a whole host of other physico-chemical processes in biological and industrial applications.

The goal of this SURF project will be to study, using computational tools such as ANSYS Workbench and/or the OpenFOAM platform, how multiphase flows behave in tight spaces. To accomplish this goal, the SURF student will work with a PhD student. Specifically the dynamics of interfaces between different phases and/or fluids will be studied through numerical simulation, and the effect of the flow passage geometry will be addressed. Some questions that we seek to address are whether/how geometric variations can stabilize or destabilize an interface and whether/how geometry affects the final distribution of particles in particle-laden multiphase flow passing through a constriction/expansion. Applications of these effects to biological and industrial flows will be explored quantitatively and qualitatively.

More information:


Supernova Forensics

Research categories:  Physical Science
School/Dept.: Physics and Astronomy
Professor: Danny Milisavljevic
Preferred major(s): Physics or Astronomy

I'm seeking a motivated and enthusiastic student to join my team of supernova sleuths investigating the catastrophic deaths of massive stars. Our comprehensive multi-wavelength, multi-phase approach of reverse engineering supernovae is unraveling the complicated final stages of stellar evolution, and providing exciting new ways to understand how stars explode and evolve into remnants that seed interstellar space with the raw materials needed for stars, planets -- and potentially life. The successful student will acquire an interdisciplinary, widely applicable skill set analyzing data obtained by premier space-borne and ground-based facilities (including the Hubble Space Telescope, Chandra X-ray Observatory, and the 6.5m Magellan and MMT telescopes) through research that will contribute towards the three-dimensional reconstruction of supernova explosions.

More information: