Research Assistant - Feature Extraction for Machine-learning based Bug Detection

Job description

This job code is utilized for the majority of our temporary hires. The individual is performing hourly job duties as defined under the Fair Labor Standards Act.

Desired profile

Qualifications :

This internship is to identify feature selection mechanisms from source code that can help the machine-learning based bug detection. As bug detection can be considered to be a classification problem in machine learning, it is important to select suitable features that can distinguish buggy programs from bug-free ones. Although source code can be viewed as a sequence of characters, it has rich structure associated with it. Such structural information can be represented using abstract syntax trees, control-flow and data-flow graphs. Specifically, we wish to evaluate the benefits of using program related structural information for feature identification using deep learning techniques.

Supervisors: Yang Zhao, Paddy Krishnan, Cristina Cifuentes

Duties
You will:
* work independently to explore various deep learning methods to extract suitable features from program source code,
* meet with your supervisors regularly for guidance and discussion about ways to explore research topics,
* attend team meetings and give updates on your work,
* present your findings and outcomes to the group.

Prerequisites
You will be expected to:

·  be undertaking a master or PhD. in Computer Science or related topic,
·  have strong background in machine learning,
·  have interest in the analysis of programs,
·  have excellent programming skills in Python and Java,
·  have good understanding of C/C++,
·  demonstrate ability to work independently and collaboratively.
Benefits:

·  These positions are paid at current industry rates.
·  Travel & visa costs associated with overseas applicants will be reimbursed.
·  Ongoing learning is incorporated into our every week to keep us at the cutting edge.
·  Building your research network as international speakers frequently present their research to us.
·  Salary $53,900 per annum

Contact Paddy Krishnan for more details. The
position will commence interviewing immediately and remain open until filled.