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Events

Speakers

Chaoran Cheng

Chaoran Cheng is the 5th year Ph.D. candidate at CS department of NJIT. Her research is focused on NLP applications. She is passionate about applying Machine Learning/Deep Learning techniques to Natural Language Processing/Social Media Mining field. She has extensive and excellent hands-on experience with crawling, exploring and analyzing text data, building, optimizing and evaluating models.

Hai Phan

Hai Phan is an Assistant Professor at the Ying Wu College of Computing, New Jersey Institute of Technology. He holds a Ph.D. in computer science, awarded in 2013 by the French National Centre for Scientific Research (CNRS) - University Montpellier 2 (UM2). His topics of interest primarily focus on data science, machine learning, deep learning, and privacy and security, especially for health informatics, social network analysis, and spatio-temporal data mining. His contributions have been published in at least 36 publications at leading and top-tier venues, such as IJCAI, AAAI, ICDM, ACM Multimedia, Machine Learning Journal, ACM CIKM, IEEE Intelligent Systems, etc. Several of them have been selected as best papers, e.g., ICDM’17, ACM BCB’15, ASONAM’15, etc.

Xiaoyuan Liang

Xiaoyuan Liang is currently a Ph.D. student at the Computer Science Department at New Jersey Institute of Technology. He received his B.S. in Computer Science and Technology from Harbin Institute of Technology, China, in June 2013. His research interests include deep learning and intelligent transportation systems.

Contact

Usman Roshan

usman@njit.edu

Connor Watson

cww5@njit.edu

Yajuan Li

yl935@njit.edu

Kabilan Senapathy

ks879@njit.edu

Jobs

Biomedical Engineer

West Orange, NJ

We are seeking candidates who are enthusiastic about neuro-rehabilitation research. The Biomedical Engineer will analyze functional and structural magnetic resonance imaging (MRI) data as part of a multidisciplinary team of clinical investigators, and to write programs and/or scripts to aid in data acquisition, analysis and maintenance.

Entry Level Desktop Engineer

NYC

Responsibilities • Serve as an engineer on platform, software, and application implementation projects. • Work closely with the Sr. Desktop Delivery Engineer to support and manage the SCCM, AppSense, Health Monitoring, and VDI (both local and virtualized desktop) environments. Brad Witkowski Network Infrastructure Recruiter at TEKsystems

NSF Ph.D. in Privacy and Security in Deep Learning

New Jersey Institute of Technology

Several openings for Ph.D. position starting Spring / Fall 2018 are available at the Department of Informatics, Ying Wu College of Computing in the New Jersey Institute of Technology. The Ph.D. students will receive monthly stipend and tuition waiver. The candidates will conduct research projects on privacy preserving data mining and machine learning, and big data analysis. Applicants expect to have a BS in Computer Science or closely related fields such as statistics or computer engineering. Research background in math / machine learning / statistics / cloud computing are highly desired. Applicants are encouraged to send their letter of application, resume, and unofficial copy of transcripts to Hai Phan

Data Engineer

An international asset management company

The positions are in New York city. SQL, python(Pandas, Numpy, Script), VBS. The knowledge of HTML, VBnet, C++ will be plus. The coding platform we used are pycharm and visual studio. Send resume to Andrew Pole (andrew.pole@njit.edu)

Internship

Biology department at Rutgers University - Newark

The analysis is related with Chip seq and good knowledge of R and Bioconductor is required. Send resume to Bharati Jadhav (bharatijadhav@gmail.com)

Code Coach

theCoderSchool

theCoderSchool is looking for passionate Code Coaches to teach our next generation how to change the world! You will meet incredible kids, teach them how to code (and how to think like a coder!), and be rewarded with an amazing experience. This is a part-time position for 2-15 hours/week (same times weekly), depending on your schedule and availability. These hours can generally be sometime between 3:00 pm and 8:00 pm weekdays or late morning on weekends. Contact: nishabhalla@gmail.com or nisha@thecoderschool.com.