Job Description

This position is for Stevens students currently enrolled. Must have a fulltime status. Bachelors Degree required. This is a part-time position.

Responsibilities:

* Developing knowledge graph based on textual descriptions

* Advance the state-of-the-art machine learning method

* Writing papers and making presentations

Required Knowledge/Skills, Education, and Experience:

* Current graduate students in Computer Science, Electrical Engineering, Engineering or related disciplines for research interns.

* Strong theoretical and practical background in machine learning and in particular with deep learning, machine learning, and in at least one of the following fields: predictive analysis, demand forecasting

* Experience with machine learning libraries such as PyTorch, TensorFlow, Keras in addition familiarity with image processing in Python

* Strong written and verbal communication skills in English is required

* Excellent interpersonal skills and a can-do attitude

* Strong collaboration skills and ability to thrive in a fast-paced environment

* Flexibility and adaptability to work in a growing, dynamic team

Preferred Knowledge/Skills, Education, and Experience

* Current graduate students in Computer Science, Electrical Engineering, Applied Mathematics, Engineering Management

* Strong knowledge in deep learning, machine leaning and time series analysis

* Hands-on with Python, with knowledge of GIT version control system

Department

Machine Learning and Data Analytics

General Submission Guidelines:

Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.

Still Have Questions?

If you have any questions regarding your application, please contact Jobs@Stevens.edu.

EEO Statement:

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly, Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including, but not necessarily limited to, race, color, religion, creed, sex, national origin, nationality, citizenship status, age, ancestry, marital or domestic partnership or civil union status, familial status, affectional or sexual orientation, gender identity or expression, atypical cellular or blood trait, genetic information, pregnancy or pregnancy-related medical conditions, disability, or any protected military or veteran status.

Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes.

NSF ADVANCE Institution Stevens values diversity and seeks candidates who will contribute to a welcoming and inclusive environment for students, faculty, and staff of all backgrounds. We are an NSF ADVANCE institution committed to equitable practices and policies and strongly encourage applications from women, racial and ethnic minority candidates, veterans, and individuals with disabilities.

Jeanne Clery Disclosure:

In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.