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2021 Internship Placements

The internship positions for Summer 2021 are below:

  • Gridware (2)
  • Heila Technologies (1)
  • McEachern Labs (TBA)
  • Lawrence Berkeley National Laboratory (5)
  • PingThings (TBA)
  • Takachar (1)

 

Additional hosts and opportunities will be added during the open application period so please be sure to subscribe to our mailing list or social media channels (Facebook | Twitter | Instagram | LinkedIn) to stay up to date on news.

 

Please review the internship placements carefully before applying. Some programs may have specific requirements.

Click through the tabs below to view the description of each institute and its respective program(s). 

Note that all internships are for 8+ week periods between mid-May and mid-August. 

 

Awardees - CalSEED

Gridware was founded with the belief that the passion and agility of start-up innovations will play a decisive role in the modernization of our power grid. As devastating wildfires hit communities and millions of hectares of land more frequently and more violently, a critical step in addressing this challenge and the many other challenges of climate change is the ability to bring together experts, grid operators, regulators and innovators to solve them together. To do this, we need a solution that is dynamic and deployable. A solution that is predictive and precise. A solution that stays ahead of the problem rather than catching up. We are building Gridware to be that solution.

(2 internships, 2 interns will be placed) 

Embedded Hardware Engineering Intern

Location: San Francisco, CA

Supervisor: Tim Barat

  • Design state-of-the-art embedded IoT hardware for the express purpose of mitigating wildfire and urban firerisks.
  • Take ownership of critical technical decisions and system tradeoff analyses.
  • Thrive in a tightly-integrated, lightning-paced team of high-energy and deeply committed individuals.

Requirements:

  • Strong fundamentals in digital and analog microelectronics concepts 
  • Experience with PCB CAD tools such as KiCAD, EagleCAD, Altium Designer, etc.
  • Proficiency with Linux environment, version control, and scripting (e.g. python, bash, etc.)

Internship duration minimum 8 weeks, maximum 15 weeks.


Embedded Firmware Engineering Intern

Location: San Francisco, CA

Supervisor: Tim Barat

  • Design/implement state-of-the-art embedded IoT firmware for the express purpose of mitigating wildfire andurban fire risks.
  • Take ownership of critical technical decisions and system tradeoff analyses.
  • Thrive in a tightly-integrated, lightning-paced team of high-energy and deeply committed individuals.

Requirements:

  • Strong understanding of C++ 
  • Experience with embedded microcontrollers and common peripherals such as ADC, SPI, I2C, etc. 
  • Understanding of networking concepts and protocols

Internship duration minimum 8 weeks, maximum 15 weeks.

Heila Technologies is an MIT-born startup dedicated to simplifying the integration and operation of individual Distributed Energy Resources (DERs) and microgrids. Low cost, low carbon, local energy is within our reach. The Heila Platform opens the energy ecosystem to innovation and community action, making it possible to grow renewable energy-based microgrids from the ground up.

(1 internship, 1 intern will be placed) 

Data Scientist

Location: Remote

Supervisor: Seth Drew

Heila Technologies is looking to hire a Data Scientist Intern to create and develop reports that provide insight and analysis to the customers of our control and optimization solution, thus supporting a higher adoption of low-carbon, distributed energy resources (DERs).

Responsibilities: 

An ideal candidate will have a strong desire to learn and build reports in a collaborative team environment. The types of tasks you will have the opportunity to work on include:

  • Collaborate with the Optimization and Control and Sales teams to understand their goals and objectives
  • Use programming skills to explore, analyze and interpret large volumes structured and unstructured data
  • Utilize predictive modeling and statistical analysis to determine analytical approaches and evaluate scenarios as well as potential future outcomes
  • Generate insights connecting analytical results with business problems or objectives
  • Present and provide recommendations to internal teams and stakeholders

Requirements:

  • Experience with data science techniques including mathematical and statistical analyses, modeling and data visualization
  • Knowledge of R or Python and SQL
  • Strong collaboration and communication skills within and across teams

Preferred/relevant majors include Statistics/Biostatistics, Mathematics, Computer Science, Data Science/Health Data Science, Engineering

The length of this internship is 12 weeks.

McEachern Labs logo

McEachern Labs develops new instrument technology for U.S. government agencies, for U.S. National Labs,  and for universities and research institutes around the globe. We solve electric power quality and harmonic challenges for tool vendors and fabs throughout the world, with 40 years of success in at hundreds of fabs in 17 countries. Engineering consultant Alex McEachern is known worldwide for his cheerful, practical, hands-on approach to explaining how to solve electric power quality and harmonics issues.

Internship positions and descriptions will be announced soon. Check back for updates.

Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 202-acre site in the hills above the UC Berkeley campus that offers spectacular views of the San Francisco Bay, Berkeley Lab employs approximately 3,232 scientists, engineers and support staff. 

(5 internship positions, 5 interns will be placed)

Transfer Learning for Advanced Building Controls

Location: Berkeley, CA

Supervisors: Tianzhen Hong, Building Technology and Urban Systems Division

Machine learning (ML) models have demonstrated excellent performance in optimizing building controls for energy efficiency and demand flexibility. However, transfer learning is a challenge in ML based building controls as a very limited number of buildings have adequate and good-quality data for training and validating ML models. Transferring these ML models to other buildings with limited data will require effective algorithms which are structured in a way that bridges two different buildings capturing their common and different characteristics (e.g., energy system type, operation strategies, climates). The intern will help review transfer learning algorithms and choose a few to test for reinforcement learning based building controls.  One intern is needed.

The intern is required to have knowledge of machine learning especially reinforcement learning and understand transfer learning. It is a plus if the intern knows how to use popular ML toolkits for Python coding and testing ML models. The intern will be part of a project team presenting and discussing progress weekly. Depending on the outcomes, there is a potential for the intern to contribute to the writing of a journal article. 

Work location: LBNL main campus (assuming COVID-19 is over by the summer - if not then some/all work may become remote).

Working period: 8 weeks

Preferred start date: flexible start from mid May to early July of 2020.


Solid-State Battery Intern

Location: Berkeley, CA

Supervisors: Gao Liu, Applied Energy Materials Group

The Applied Energy Materials group at ESDR is looking for one materials sciences intern. The intern will perform experimental materials research on solid-state battery for electric vehicle applications. The intern will synthesis new solid-state ion conductors, fabricate batteries based on those ion conductors, and testing the battery cells. 

This is an experimental internship.

Work location: LBNL main campus in Building 70 (assuming COVID-19 is over by the summer - if not then some/all work may become remote). 

Preferred start date: beginning of summer. 


New Insights into Advanced Membranes for Energy Applications

Location: Berkeley, CA

Supervisors: Gregory Su

New materials with tailored functionality are needed for technologies renewable energy technologies. Membranes enable the selective transport of specific species are critical components in these technologies, for example, the proton conducting membrane in a hydrogen fuel cell. Membranes made of polymers are attractive due to their tunable chemistries and favorable mechanical properties. However, we still need to better understand how molecular architecture dictates the nanoscale assembly of polymer molecules and ultimately membrane performance. This internship will focus on probing the nanoscale structure of membranes using unique experimental X-ray tools coupled with simulations and other characterization methods to gain new insights into membrane structure-property relationships. The work will involve working closely with research groups at Berkeley Lab and take advantage of Berkeley Lab's world-class facilities, including the Advanced Light Source and the Molecular Foundry.

Number of interns required: 1

Work location: LBNL main campus (assuming COVID-19 is over by the summer - if not then some/all work may become remote). 
Preferred start date: dates flexible during the summer of 2021


Bioenergy Quantum Sensing

Location: Berkeley, CA

Supervisors: Benjamin Gilbert

We seek one motivated undergraduate intern to contribute to the development of a new chemical imaging method to optimize biofuel production in bioreactors. The candidate will work with a multidisciplinary team of scientists in Earth & Environmental Sciences and Biosciences Divisions at Lawrence Berkeley National Laboratory (LBNL). Our groups are collaborating on using quantum sensing and complementary methods to study microbial metabolic processes, ultimately for the in-situ observation of single-cell biochemistry. Depending on background, and onsite or virtual intern, the candidate will design optical, microfluidics or microwave instrumentation, develop python software for data acquisition, or acquire and process chemical imaging data from microorganisms using a diamond-based quantum sensor, a confocal fluorescence microscope or a Raman microscope. 

Motivated candidates from the core STEM fields will be considered, and preference will be given to the ones with relevant experiences and skills. 

Work location: LBNL main campus (assuming COVID-19 is over by the summer - if not then some/all work may become remote).


Sustainable Energy System Intern

Location: Remote

Supervisors: Bin Wang, Energy Analysis and Environmental Impact Division

As our infrastructure systems, novel and scalable decision-making methodologies are needed to resolve the 1) interdependency among different systems, and 2) interactions with the complex climate events, e.g. the wildfire, within the planning and operation problems.    Two interns are expected to assist the existing LDRD projects. 

  • Build future (year 2030, 2040) electric vehicle travel demand models for the San Francisco bay area  
  • Validate optimization models with real-world data and scenarios  
  • Collect historical climate (events) data and build predictive models to project climate impact on the existing infrastructure systems  
  • Build economic metrics to quantify the economics of the wildfire impacts on the electric grid  

Basic programming and data analytic skills are required. Candidates with experience in economics, machine learning, optimization are preferred. 

Work location: work from home is expected. 

PingThings offers the world’s fastest time series data management, analytics, and AI platform for engineering, industrial, and scientific applications with a core focus on electric utilities. 

PingThings is excited to offer multiple internship opportunities to support a major, 3-year project funded by anARPA-E Open Innovation award – “A National Infrastructure for Artificial Intelligence on the Electric Grid” (https://pingthings.ai/arpa_e.html). PingThings seeks to advance the state of the art by deploying a large number of high frequency sensors on the grid, collecting and making the data available via its state of the art time series platform (originally architected by a former UCB student), and building an open community around this data to build the next generation of use cases for a more reliable grid. Internship opportunities will span the spectrum from the intensely technical (power and electrical engineering, computer science, mathematics) to the organizational, business, and marketing sides of the project.  

Internship positions and descriptions will be announced soon. Check back for updates.

Takachar is an MIT spinout company with a test site in Berkeley, CA. The company's vision is to expand the amount of biomass (crop and forest residues) economically converted into useful products (we turn trash into cash). Our impacts include income and job creation in rural areas, as well as mitigation of CO2 emission and air pollution associated with conventional open-air biomass residue burning. If successful, this could also potentially reduce the risk of catastrophic wildfires.

(1 internship, 1 intern will be placed) 

Project Engineer (AKA Firebreather)

Location: Berkeley, CA

Supervisor: Kevin Kung

In summer 2021, we will be building and testing an internal prototype. We are seeking one project engineer to coordinate this effort. The engineer will assist in testing the prototype, first in a laboratory setting, and also potentially in the field. In the latter stage of the project, you should be prepared to work in a rural environment (in California) under resource-constrained settings.

Requirements:

Prior experience with SolidWorks, design for manufacturing, control systems, and reactor testing will be helpful. A project website (if you have one) will help us gauge your experience.

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