Brandeis Innovation Announces 2021 Sprout Program

Brandeis Innovation logoBrandeis Innovation is pleased to announce the kickoff of its annual Sprout program that supports bench research with grants up to $25,000, funded by the Office of the Provost and Office of Technology Licensing. Teams and individuals working on innovative projects and research within the Division of Science are eligible to apply.

Sprout helps bring scientific research and entrepreneurial ambitions to life by providing seed funding. As an added bonus, recipients will also have the option to choose to participate in our spring cohort of the NSF I-Corps fellowship, which provides training in technology commercialization and a stipend up to $750 for related expenses.

Interested applicants can complete this pre-application form, due on February 19th.

Grants for undergraduate research in computational neuroscience

The Division of Science is pleased once again to announce the availability of Traineeships for Undergraduates in Computational Neuroscience through a grant from the National Institute on Drug Abuse. Traineeships will commence in summer 2021 and run through the academic year 2021-22.

From former trainee Dahlia Kushinksy’s first-author paper published in Journal of Experimental Biology, “In vivo effects of temperature on the heart and pyloric rhythms in the crab, Cancer borealis”

Please apply to the program by March 2, 2021 at 6 pm to be considered.

 

Traineeships in Computational Neuroscience are intended to provide intensive undergraduate training in computational neuroscience for students interested in eventually pursuing graduate research. The traineeships will provide approximately $5000 in stipend to support research in the summer, and $3000 each for fall and spring semesters during the academic year. Current Brandeis sophomores and juniors (classes of ’22, ’23) may apply. To be eligible to compete for this program, you must

  • have a GPA > 3.0 in Div. of Science courses
  • have a commitment from a professor to advise you on a research project related to computational neuroscience
  • have a course work plan to complete requirements for a major in the Division of Science
  • complete some additional requirements
  • intend to apply to grad school in a related field.

Interested students should apply online (Brandeis login required). Questions may be addressed to Steven Karel <divsci at brandeis.edu> or to Prof. Paul Miller.

Summer Undergraduate Research Fellowship Applications for 2021

In spite of all the uncertainty about the summer to come, it is time for Brandeis Science undergraduates doing research to think about applying for summer fellowships. The Division of Science, through a variety of sources, will likely have enough money to support roughly the same number of students as in recent years. For the most part, funding comes in the form of $5000 stipends that are paid directly to students to support them while working in labs in the summer.

There are also full-year Computational Neuroscience traineeships to support students. We will be looking for 6 students to appoint for 2021-22.

While there is a variety of funding mechanisms, students can apply via a single unified application

To apply, students will need to have a commitment from a faculty mentor to supervise their research in Summer 2021. Applications will be due on March 2, 2021. Students will need a single letter of reference from their faculty mentor.

The SciComm Lab is hosting a workshop for Brandeis undergraduates who are interested in learning about application strategies for summer science research opportunities at Brandeis University.

Undergrad summer research funding, 2019

The Division of Science announces the opening of the Division of Science Summer Undergraduate Research Fellowship competition for Brandeis students who will be doing undergraduate research in Summer 2019.  These fellowships are funded by generous alumni donations and by grants. Winners will get $5000 stipends for the summer.

Some funding programs have changed since last year; please see the Div Sci website for details of the programs which fund students across all the sciences. We expect to fund about 30 students this summer.

The due date for applications  is February 27, 2019  at 6:00 PM EST.

Students who will be rising Brandeis sophomores, juniors, or seniors in Summer 2019 (classes of ’20, ’21 and ’22), who in addition are working in a lab in the Division of Science at the time of application, are eligible to apply. A commitment from a Brandeis faculty member to serve as your mentor in Summer 2019 is required.

The Division of Science Summer Program will run from June 3 – Aug 9, 2019. Recipients are expected to be available to do full time laboratory research during that period, and must commit to presenting a poster at the final poster session (SciFest IX) on Aug 8, 2019.

Interested students should apply online (Brandeis login required). Questions that are not answered in the online FAQs may be addressed to Steven Karel <divsci at brandeis.edu>.

Brandeis receives $1 million HHMI Inclusive Excellence Initiative grant

HHMI logoBrandeis is one of 57 schools to receive a $1 million 5-year grant from the Howard Hughes Medical Institute’s (HHMI’s) Inclusive Excellence Initiative, the aim of which is “to create a community of scientists and science educators engaged in 57 experiments, each experiment aimed at understanding how institutional change with respect to inclusion can be achieved.” Under the direction of Henry F. Fischbach Professor of Chemistry and HHMI Professor Irving Epstein, Professor of Biology Melissa Kosinski-Collins and Associate Provost Kim Godsoe, the program has four major thrusts: a) Galaxy, a cohort based program, modeled on Brandeis’s highly successful Science Posse, to provide peer and near-peer support and mentorship for prospective science majors; b) workshops, incorporated into introductory laboratory courses, that address issues such as imposter syndrome, implicit bias and stereotype threat and encourage students to reflect upon the learning environment that they wish to create for themselves and their classmates; c) low-enrollment practicum courses designed to strengthen students’ quantitative skills through project-based research studies; and d) a faculty learning community that will bring together instructors in key courses to grapple with issues that may hamper student performance and retention.  The discussions in b) and d) will be informed by written and oral presentations from students and alumni, who will be asked to reflect on how their preparation and their reception by faculty and other students affected their experience in STEM.  These initiatives will help Brandeis change the culture and climate of how the community perceives all students studying STEM.

A major impetus for this undertaking is the recognition that students in the sciences begin with a wide range of preparation and experience, and that currently retention in science majors is heavily correlated with level of preparation and initial success in introductory courses.  Nationally, only 48% if students entering college with the intention of majoring in STEM (science, technology, engineering and mathematics) actually complete a STEM major.  At Brandeis the record is somewhat better, but there is still much room for improvement.  The programs in this initiative are designed to overcome the “sink or swim” mentality that affects many students (and faculty) by making them aware that, with appropriate support and perseverance, all students can succeed in the sciences no matter where they start from, even if the road is rocky at the start.

Papaemmanouil Receives Funding from Huawei Technologies

Olga PapaemmanouilShenzhen-based Huawei Technologies, the largest manufacturer of telecom equipment in the world, is supporting Associate Professor of Computer Science Olga Papaemmanouil‘s efforts to develop machine learning approaches for managing the performance of data management systems. The grant will support research on workload management, that is the task of query placement, query scheduling and resource allocation for database applications. Workload management is an extremely critical task for database systems as it can impact the execution time of incoming processing tasks as well as the overall perceived performance of the database  and the quality of the service (QoS) offered to end-clients. The complexity of the problem increases for applications that involve dynamically changing workloads and concurrently executing queries sharing the same underlying resources, as well as applications that are deployed on data clusters with fluctuating resource availability.

Dr. Papaemmanouil’s research aims to design frameworks that can be trained on application-specific properties and performance metrics  to automatically learn how to effectively dispatch incoming queries across a cluster of servers, implicitly solving the resource allocation challenge. These techniques will rely on machine learning algorithms (reinforcement learning and deep learning)  that model the interaction of concurrently running queries  as well as the relationship between database performance and the underlying resource availability in the cluster. The project will lead the way towards the development of workload management solutions that eliminate ad-hoc heuristics often used by database administrators to address these challenges and replace them with software modules capable of providing custom workload management strategies to end-clients.

Protected by Akismet
Blog with WordPress

Welcome Guest | Login (Brandeis Members Only)