BSOE Undergraduate Newsletter
REGISTER NOW! Scientific Principles of Life (BME 18)
Students Needed for a Video Game Research Study - Earn $50 to Participate!
Opportunity for Undergraduates for a Project on Learning in Online Labor Markets
Focused ultrasound (FUS) is a revolutionary non-invasive medical therapy. It sends harmless sound waves from outside of body to create a focal therapy point, with over 130 conditions in the body, including but not limited to oncology, neurology, neurosurgery, and more. We, at YektaSonics, are developing a novel hardware-software co-designed phased array to be used in focused ultrasound medical devices. The technology is an order of magnitude lower cost in compare to other phased arrays in the market, and it has the most optimum output signaling of pure sine or harmonic free (beneficial to the FUS community due to MRI compatibility and power efficiency to transducers). YektaSonics has received many awards and recognitions, such as being a company in residence at University of California Citris Foundry incubator, UC Big Ideas finalist, NSF I-Corps recommended team, and being invited to NSF SBIR for proposal submission.
We have a software intern position for this summer, where a strong candidate will develop our package as well as contributing to our machine operating system. The work will be done mainly in C/C++. The lab is in San Jose area and remote work can be done. Please email your resume as well as your transcript to Navid Gougol at email@example.com or firstname.lastname@example.org. Navid is the CEO and founder of YektaSonics and a PhD admitted in ECE at UCSC. You can check the company website for more information at www.yektasonics.com.
Space is available for David Haussler's Scientific Principles of Life, which satisfies the Scientific Inquiry 5-course credit requirement!
Monday, Wednesday & Friday 1:20 PM - 2:25PM
Learn the basic principles of life as it exists on this planet and how they generalize -- Darwinian evolution, genomes -- scientific theories of life including mechanistic, thermodynamic and information theoretic models.
Explore the future of life from the Internet to machine learning and adaptation, artificial intelligence, genome edition and fully artificial life.
We are currently seeking CS undergraduates to participate in a video game study. Our study examines how Data-Driven Retrospective Interviewing (DDRI) can help generate insightful feedback from video game players.
Eligible participants will be asked to play four levels of a programming game and then complete a 15-30 minute interview. During the interview, participants will be asked questions regarding their gameplay data. Upon completion of the play session and the interview process, participants will be compensated with a $50 gift card.
You can participate in this study if you are at least 18 years of age and able to read and speak English. You must be a registered student enrolled in an undergraduate CS program and you must have access to a Windows computer. Running Windows on a Mac or Linux machine will not suffice it must be a Windows machine.
If you meet the above criteria and you are interested in participating in this study, please submit your email here: https://forms.gle/
The Tech4Good Lab is seeking 3 undergraduate students to assist a PhD student on various aspects of a developing research project in Human-Computer Interaction (HCI) and Social Computing. Undergraduate students will be working on various tasks as need, including but not limited to, testing the study design, and reading and summarizing relevant literature. No experience necessary to apply, just an interest in the project topic, ability to work independently, and eagerness to learn. This is a great opportunity if you've ever been curious about HCI research. Expected time commitment is 10hrs/week. If interested please submit a statement of interest (1 paragraph is enough) and optional resume or CV. Please submit application materials and questions to Veronica Rivera (email@example.com). Applications are accepted on a rolling basis, so please apply ASAP. Project summary below:
The advance of technology and the COVID-19 pandemic have resulted in an increase of workers who are turning to working on gig platforms to make ends meet. However, working conditions on various gig platforms are poor, and workers do not receive the support they need. One of these challenges is supporting workers’ learning and career goals. The goal of our project is to understand how social learning may help gig workers transition from lower-skilled platform like Amazon Mechanical Turk to higher skilled platforms like Upwork.
Learning Support Services (LSS) provides small group and individual tutoring for students taking a wide variety of courses in Baskin Engineering. They are looking for students who want to be a paid Tutor or Learning Assistant for the classes they support!
LSS has plans to support the following courses in Fall 2021:
CSE: 12, 13S, 16, 20, 30, 100, 101, 102, 103, 111, 112, 120, 150, 180
AM: 10, 11A, 11B
ECE: 101, 103
STAT: 5, 7, 131
What positions is LSS hiring for?
- Small Group Tutor
- Modified Supplemental Instruction (MSI) Learning Assistant
- Embedded MSI Learning Assistant
- MSI Study Group Leader
- Student Assistant
- SI Leader (Please reach out to the LSS Staff (firstname.lastname@example.org) if you have questions about SI or would like more information about how-to apply to this position!)
All Application will be reviewed starting early June and continue on a rolling basis through the Summer until August 18th. Please browse our position descriptions and the Open Positions page on our Website.
For more information regarding our basic qualifications, please visit our website.
Please note that applicants must be undergraduate students for Fall 2021. If you are graduating this Spring quarter, congratulations and we wish you all the best in your future endeavors. Please disregard this email.
Data Science Fellowship at The Data Incubator is currently accepting applications for the Fall 2021 program
The full-time Fall 2021 session runs from September 20, 2021 to November 12, 2021.
The part-time Fall 2021 session runs from September 20, 2021 to February 18, 2022.
- Early Application Deadline: July 09, 2021
- Early Decision Notification: July 30, 2021
- Regular Application Deadline: July 30, 2021
- Regular Decision Notification: August 20, 2021
1. The project-based learning environment gives students hands-on experience, so they’ll have the knowledge and confidence to use their skills.
2. Career services and networking opportunities will give you a competitive edge when you're looking for your first (or next) data job.
3. Expert mentors and peers will help you improve your skills and solve difficult problems.