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Advanced Sensing & Devices Summer Intern

Position: Advanced Sensing & Devices Summer Intern
Duration:  10 weeks
Date: June 3 to Aug 9, 2024
Location: Onsite 

The team you'll be part of 

Data & Devices Department @ Nokia Bell Labs

Nokia Bell Labs is the world-renowned research arm of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems. This research has produced ten Nobel Prizes, five Turing Awards, and numerous other awards. The Data & Devices Department is part of the AI Research Lab, which has a long tradition of excellence in research and currently consists of more than 80 staff members with expertise ranging from computer science to experimental condensed matter physics.

We develop the devices and AI that will seamlessly integrate the physical world and human physiology into the future network of everything. We develop innovative materials, devices, and machine learning techniques that can continuously and non-invasively interface, sense, and actuate the physical world. We emphasize individual creativity and value both fundamental research contributions and advances that could potentially expand Nokia’s human-centric product offerings.


Education Recommendations

Currently a candidate for a Ph.D. program in Biochemistry, Physics, Biomedical Engineering, Electrical Engineering, Chemical Engineering, Chemistry, Materials Science, Molecular Biology, Microbiology, Nanotechnology, Computer Science, or a related field with an accredited school in the US.



As part of our team, you will have the opportunity to work on one of the following projects:

  • AI/ML for Biomonitoring of Wound Healing: An unmet need in wound care is a non-invasive quantitative readout of healing progression that can inform treatment for optimal healing. Recently, we have applied novel OCT imaging and sensing technologies to in vivo models and have made significant progress toward automated wound healing monitoring. Interns will have the opportunity to develop algorithms and machine learning approaches to analyze our novel in vivo imaging datasets. Our aim is to develop neural networks for 3D image segmentation and classification to extract quantitative biomarkers of healing success.
  • Multi-modal OCT Hardware for Advanced Sensing: We have previously demonstrated a chip-scale OCT system and are now working to add biochemical specificity to this 3D imaging technique using non-linear spectroscopy. The project tasks will include 1) optical system building using pulsed and tunable laser sources, detectors, gratings, optical/electro-optical components, and fiber optics, 2) development of a data collection and signal processing SW pipeline, and 3) building and optimizing interferometric assemblies using mechanical alignment tools.
  • Chemical Sensor for Industrial Gas Detection: A robust low-cost chemical sensor that can sense myriads of chemicals has remained an elusive challenge for decades but remains in strong demand in many Chemical industries. This project will assist in the development of such a novel low-cost, general gas sensor. Intern research can include 1) fabrication and characterization of peptide-based sensors, 2) integration and end-to-end characterization of a full prototype device, and 3) AI/ML model building for interpreting sensor data.
  • Simulation of a 2D electron system (2DES) for topological quantum computing: Simulate the effective electrostatic potential, electronic depletion, and quantum transmission in a 2DES in a perpendicular magnetic field contained inside a Fabry-Perot interferometer. Modeling of the 2DES will include simulating effective electron confinement in GaAs/AlGaAs heterostructures using a self-consistent approach to solving the Schrödinger-Poisson equations. The main goal is to allow us to optimize our device geometry and quantum-well layer architecture to attain greater oscillation amplitudes in our interferometry experiments for topological quantum computing applications.


Depending on the specific project, it would be nice if you also had experience with:

  • Machine learning for OCT, MRI, or other volumetric medical imaging techniques
  • Free-space and fiber-optic components
  • Building microscopy or other advanced imaging systems
  • Pulsed and tunable NIR lasers
  • Optical simulations and non-linear spectroscopic techniques like SRS.
  • Hardware interfacing and data processing using MATLAB/Python/C++
  • Gas manifold systems, basic testing and analysis of electronic circuits, and fabrication techniques like plasma etching, spin coating, etc.
  • Condensed matter physics with coding experience (preferably Python) and extensive motivation in theoretical/computational modeling.

Why we're awesome

Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs, and highly diverse teams with an inclusive culture where people thrive and are empowered.

Company Culture: We believe our people are our greatest asset and we aim to foster a fun, challenging, positive, and inclusive work environment. We offer 1-on-1 mentorship, learning and development opportunities, global impact and interaction, and flexible work/life balance.

Meaningful Co-op/Internship: During your placement, you will be able to test the latest technologies and work on innovative projects that could leave a global impact. You get to use skills learned in the classroom and apply them to real-world situations while gaining professional hands-on experience.

See you this Summer 2024!

*Disclaimer: Benefits do not apply to student, intern, or Co-op positions.  Specific terms and conditions for internships and co-op programs will be outlined separately.