BSOE Graduate Student Newsletter
*PLEASE NOTE THE UPCOMING UNIVERSITY DEADLINES*
Summer Independent Studies
Global Grad Show - Applications Open
WRIT 203 - Fall Writing Course for Potential Graduate Student Instructors
BPC Alliance Extension Proposal and 2 Google Funding Opportunity
Magic Leap’s University Graduate Program!
The 2021 UCSC Graduate Student Survey provides you with an opportunity to provide feedback on the quality of your graduate program. We rely on this feedback to evaluate and make improvements. The survey covers important aspects such as the quality of faculty teaching and mentorship, curriculum, TA and research training, climate, and funding. It also includes questions about your experiences during remote learning and working this past year. To participate in the 2021 Graduate Student Survey, please go to the survey portal:
After participating in the survey, you will have a chance to win one of ten $50 Amazon gift cards in weekly drawings or one of four $200 Amazon gift cards in grand prize drawings throughout the survey.
Please note the following upcoming university deadlines, and ALWAYS check the Academic and Administrative Calendar for important dates and deadlines. Bookmark this year's Academic and Administrative Calendar and refer to it regularly.
Wednesday, July 7th Deadline To Apply For Degree
If you plan to complete your MS or PhD this quarter (Summer 2021), the degree application needs to be submitted to BSOE Graduate Advising office. This is also the deadline to pay for filing fee, if applicable. More guidelines for graduating are available on the Graduate Advising website.
Friday, August 27th Leave of Absence Summer Deadline
Deadline to petition for leave of absence (LOA) beginning the next quarter. LOA forms must be approved/signed by your faculty advisor and submitted to the BSOE Graduate Advising office by the posted deadline. LOA application forms are available on the Graduate Division's website.
Please be advised that Summer petitions for independent studies are processed through Summer Session. Please do not submit DocuSign forms through the BSOE Graduate Advising site. You can find more information here.
Applications are open to the 7th edition of Global Grad Show, the annual programme for university graduates creating solutions for social, environmental and development issues.
Whether it's high-tech or low-tech, university students from all disciplines creating solutions for a better world are encouraged to submit their projects - visit our applications portal here . It takes just a few minutes to apply and the programme is 100% free.
All proposals will have the opportunity to be selected for a digital exhibition of the 100 best innovations at the forefront of social impact, promoted across 1,000+ global media channels in 60 countries.
All applicants are eligible for a selection of projects joining our multi-phased entrepreneurship programme helping to build future startups, along with funding options.
The Writing Program is offering WRIT 203, Theories and Practices for Teaching Writing (#23569, WRIT 203-01 TuTh 1:30pm-3:05pm), in fall for interested graduate students who would like to learn more about writing pedagogy and/or to serve as future GSIs in the Writing Program.
As noted on the attached flyer, "Synchronous Remote Instruction or In-Person - we will decide as a class".
The completion of WRIT 203 is required of graduate students who wish to apply to teach WRIT 2 with the Writing Program during our annual spring recruitment.
Graduate students may direct questions about the course to Teaching Professor Amy Vidali (firstname.lastname@example.org).
CAHSI and Google are in their second year of funding the Google-CAHSI Dissertation Award which provides financial support to qualified Hispanic doctoral students at CAHSI institutions to complete the last year of their studies. Preference will be given to students with plans to enter academia. Applications WERE due June 30th, but we are extending this deadline (TBD).
For more information about past recipients: https://blog.google/outreach-initiatives/education/new-awards-support-future-leaders-computing-research/
We are excited to announce our University Graduate Program for PhD and Master students in various engineering fields. This program welcomes underrepresented students in engineering, most specifically (but not limited to) those who identify as Women, Black, and LatinX, looking to take on projects in the Augmented Reality space!
Our intern openings are in:
- Computer Vision in our Zurich, Switzerland office
- Optical Engineering in our Boulder, Colorado office
Magic Leap’s company vision is to amplify human potential. Our mission is to deliver enterprise a powerful tool for transformation—an augmented reality platform of great utility and simplicity. Achieving our goals requires passion and dedication. That’s why we’re committed to building and empowering a diverse team of incredibly talented people and fostering an inclusive culture through our values of unity, innovation, and user-centricity.
Belden is the leading company providing industrial communication solutions, including switch, wireless LAN, cellular, security, etc. We are enhancing our solutions using artificial intelligence to make them “smart” and more reliable for better user experience. We are looking for data scientists, senior data scientists, and senior software or data engineers to join our analytic team. The skill set of positions are listed below.
Data Scientists or Senior Data Scientists:
- Master degree in Computer Science, Data Science, or equivalent degree. Ph.D is a plus.
- Strong theoretic background in machine learning, deep learning, data mining, graph mining, network science, graph convolutional networks (GCNs), and artificial intelligence (e.g., inference). Other knowledge (e.g., computer network protocols) is a plus.
- Strong hands-on skill in Python/Scalar. Very good in writing SQL queries.
- Experience on following:
- Popular frameworks/libraries (e.g., Hadoop/Spark, numpy, scipy, pandas, sklearn, tensorflow or similar, etc.)
- AWS ecosystems (including S3, Athena, Glue, Lambda, SageMaker, etc.) or similar stack
- Streaming platform (e.g., Kafka) is a plus.
- Good team player and willing to learn attitude.
- Senior data scientist with 5+ years of working experience or data scientist with 2+ years of experience (will consider Ph.D intern without enough working experience).
Senior Software or Data Engineers:
- Master degree in Computer Science, or equivalent degree.
- Strong theoretic background in real-time operating Systems, embedded systems, and computer network protocols. Other knowledge (e.g., cloud computing, distributed system) is a plus.
- Strong hands-on skill in C/C++/Java/Go.
- Experience on following:
- Embedded system
- Container (e.g., Dockers or Kubernetes)
- Streaming platform (e.g., Kafka) , and
- AWS ecosystems (including S3, Athena, Glue, Lambda, etc.) or similar stack is a plus
- Good team player and willing to learn attitude.
- Senior software or data engineers with 5+ years of working experience.
Please submit resume directly to Frank Howley at email@example.com
The Department of Computer Science at UTSA is hiring for Open Rank Lecturer, Professor of Practice/Instruction in all areas of Computer Science to start in Fall'21. Applications will be accepted through midnight CT on July 16, 2021. This position posting may close to applications once a sufficient number of qualified applications have been received.
Hours per Week
40 hours per week.
Required Application Materials
Letter of Application
Recommendation Letters (at least two letters)
Teaching Evaluation (for at least one course)
When you are including multiple documents, you will be required to upload all documents as one single PDF. You may include them all in the "Resume" section
Primary duties will be teaching undergraduate computer science courses, four courses/sections per semester (Fall and Spring).
Courses will be taught mostly in-person, may also include on-line sessions.
Master's degree in Computer Science or a closely related field for Lecturer position; a PhD degree in Computer Science or a closely related field, or Professional Experience for Professor of Practice; and a PhD degree in Computer Science or a closely related field for Professor of Instruction position.
Two or more years of effective teaching experience at undergraduate level in computer science (including teaching assistant experience).
Preference for candidates with Master's degree or professional experience
UTSA is a tobacco free campus
This is a security sensitive position. Employment is contingent upon a successful background check.
All applicants selected for interview must be able to show proof of eligibility to work in the United States by time of hire. UTSA does help with visa issues.
As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affirmative Action Program in compliance with all government requirements to ensure nondiscrimination. Women, minorities, people with disabilities and veterans are encouraged to apply. UTSA campuses are accessible to persons with disabilities.
The Department of Computer Science currently has 20 tenured/tenure-track and 12 professors of instruction, and offers B.S., M.S., and PhD. degree programs, supporting about 1,500 undergraduate, 80+ master’s students and 65 PhD. students. Faculty in the Department of Computer Science conduct numerous research projects with funding from a variety of federal and state agencies, and their graduate students are very well placed at leading academic and research institutions. Research is conducted in areas such as artificial intelligence, big data, bioinformatics, cloud computing, computer vision, cyber security, data analytics, database, game development, human computer interaction, image processing, machine learning, networks, operating systems, parallel, distributed and high performance computing, and software engineering.
The University of Texas at San Antonio, with nearly 32,100 students, is the largest university in South Texas. The City of San Antonio has a population of over one million and is known for its rich Hispanic culture, historic attractions, affordable housing, and excellent medical facilities. The Austin-San Antonio corridor is a high-tech center that is home to many major computer companies. Nearby higher education and research institutions include UT Health San Antonio and Southwest Research Institute.
Location: Santa Clara, CA, USA
Employment Type: Regular full time
Big Data Federation tackles complex financial and economic problems. We apply machine-learning technologies to our mass data to generate predictions and signals for our asset management subsidiary. Our team comprises a group of technologists, mathematicians, data scientists, industry analysts, economists, and programmers. The company was incorporated in 2015, is headquartered in Santa Clara, California and has a European office in Moldova. We are backed by one of the world’s largest venture capital firms.
This is an exciting role in which Silicon Valley meets Wall Street. You will play a key role in bringing technological innovation to the financial industry. In particular, you will use your finely honed mathematical, computer science, and coding skills to create data-driven investment strategies and novel trading opportunities for our asset management firm. We particularly welcome passionate, data-oriented candidates eager to learn new skills, and mentor their colleagues in areas where they themselves excel.
As a Data Scientist you will:
Collaborate with researchers to provide insights in data
Do statistical analysis to figure out leading indicators to market
Visualize and explore data to figure out patterns and create new predictive features
Develop data science infrastructure tooling such as proprietary R packages
Use modeling techniques with finance intuition to advance existing quantitative and fundamental strategies and introduce new opportunities
Backtest trading strategies
Collaborate with software engineers to handle data/prediction ingestions and deploy models
Solid background in statistics and mathematics
Strong knowledge and hands-on experience in data analysis and fundamental machine-learning techniques
Demonstrated experience highlighting innovation, creativity, and intuition
Proficient in R (preferred), or Python, and their respective library ecosystems
Familiar with financial analytics, time series econometrics, and trading strategies
Able to mentor junior data scientists through code reviews and best practices
Ability to multitask with attention to details
Strong verbal and written communication and presentation skills
PhD/Master’s degree in a technical or quantitative discipline, like math, statistics, science, engineering, with 2+ years of applied data analysis and prediction experience. No prior experience is needed for Entry-Level candidates.
Competitive salary; stock options; health benefits; paid time off; short- and long-term disability life insurance.
Please send your resumes to firstname.lastname@example.org.