Computer Science, Biology & Chemistry have opened faculty searches

Brandeis has open searches for tenure-track faculty in three departments within the Division of Science for this fall.  We are looking forward to a busy season of intriguing seminars from candidates this winter.

  1. Assistant Professor of Computational Linguistics. Computer Science invites applications for a full-time, tenure-track assistant professor, beginning Fall 2019, in the area of Computational Linguistics including, but not limited to Statistical and Neural Machine Translation, Question Answering, Information Extraction, Text Summarization, Syntactic and Semantic Parsing, Dialogue Systems, etc.
  2. Assistant Professor(s) of Biology Biology invites applications for up to two full-time tenure-track positions at the level of Assistant Professor, beginning Fall 2019. Ideal candidates will be conducting innovative research in the broad area of cell biology using any organismal, cellular or in vitro system. Areas of emphasis include, but are not limited to, cell architecture, cell motility, cell division and morphogenesis, organelle function, intracellular trafficking, and compartmentalization.
  3. Assistant Professor of ChemistryChemistry is seeking a creative individual at the assistant professor level for a tenure-track faculty position in organic chemistry or chemical biology.  Exceptional senior candidates in all areas of chemistry will also be considered at the appropriate rank.

Brandeis University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and strongly encourages applications from women and minorities.  Diversity in its student body, staff and faculty is important to Brandeis’ primary mission of providing a quality education.  The search committees are therefore particularly interested in candidates who, through their creative endeavors, teaching and/or service experiences, will increase Brandeis’ reputation for academic excellence and better prepare its students for a pluralistic society.

JBS Voice/Web/Mobile Showcase

The 2018 Voice/Web/Mobile JBS will have their final product showcase this Thursday 8/2 from 3-5 in Schwartz 112.

Six teams of three students each have built apps which can be accessed either through voice or through a browser (or both). The presentations will be from 3-4 (right after SciFest though in a different building) and you’ll be able to play with their apps from 4-5 at the reception.

The six apps are ( https://sites.google.com/a/brandeis.edu/jbs-2018-cosi/home/teams):

  • PresentationApp/SpeechFlow — control your computer during a presentation entirely with your voice (visit link A, pick a random student to answer this question, to to slide 10, etc.)
  • CollegeInfo — allows you to ask complex questions about the Brandeis course schedule, such as which Computer Science courses are offered this semester on Mondays at 3:00, and you can also use it to build and view your schedule.
  • SeniorCenter — matches seniors based on their interests in books, movies, and TV series. This is designed to fight the isolation and depression common in seniors while allowing them to use their voice rather than click buttons on their computer or phone.
  • DeisTransportApp — allows you to make reservation on the BranVan and query arrival times and bus locations all by voice!
  • HumanGainz — allows your phone to serve as your personal trainer at the gym. Reminding you of which exercises are next in the workout you selected.
  • SON – this is a next generation calendar app which incorporates social media so you can ask which of your friends are free at a particular day/time as well as handle all of the usual calendar operations.

Please join us to see the presentations, ask questions,  and interact with the apps.

— The JBS Team—

SciFest VIII will be on Thursday, Aug 2

Scifest VIII, our annual Poster Session featuring undergraduate researchers, will be held on Thursday, August 2. The poster session will be 1:00 to 3:00 pm in the Shapiro Science Center atrium.

SciFest features undergrads who have spent their summers working in both on-campus and off-campus labs doing scientific research, usually alongside grad students, postdocs and faculty members. It an opportunity for these dedicated students from across the Division of Science, including summer visitors and Brandeis students, to present their research for peers and the community.

As of today, 107 students have registered to present.

The public is invited to attend and to discuss research with the students. As always, refreshments will be served.

Hongfu Liu Joins Computer Science as Assistant Professor

Dr. Hongfu Liu has joined the Michtom School of Computer Science at Brandeis University as a tenure-track assistant professor. He received his Ph.D. in the Department of Electrical & Computer Engineering, Northeastern University (NEU), supervised by Prof. Yun (Raymond) Fu within 3.5 years. Before joining NEU, he earned his master and bachelor degrees in management from the Beihang University with Prof. Junjie Wu. He also received two minor bachelor degrees in applied mathematics and laws.

His current research interests lie in data mining, machine learning  and related applications on business intelligence, computer vision and bioinformatics. He has published several papers in top conferences and journals, such as KDD, ICDM, SDM, AAAI, IJCAI, T-PAMI, T-KDE, T-IP, DMKD, BMC and so on. He is also the reviewer for several top conferences and journals. He has been nominated as KDD Top 20 rising star all over the world in 2016.

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.

Olga Papaemmanouil Promoted to Associate Professor

During the November Board of Trustees meeting, Olga Papaemmanouil (Computer Science) was promoted to associate professor with tenure. She joined Brandeis in 2009 after receiving her Ph.D. in Computer Science from Brown University. Her work revolves around data management systems and distributed systems.

Her research aims to  offer insight on the complexity of the data sets and operations involved in data management systems and use this insight to produce solutions and optimizations that improve these systems’ effectiveness and efficiency. Her research is motivated by practical applications and offers real-world tools and services that assist application developers in tacking the challenges of building, managing and optimizing data-driven applications.

Her work covers a broad range of data-driven challenges, including big data exploration and analytics, workload and resource management for cloud databases, query optimization and query performance prediction.

Olga won an NSF Career Award for her work on performance tuning of cloud databases and her research has been funded by the National Science Foundation, Hewlett Packard, Amazon, Google and Huawei Technologies.

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