Student Admin Intern

Research Assistant in International Business, Entrepreneurship and Management (up to a maximum of 6.5 hours per week for 24 weeks)

This part-time role (up to a maximum of 6.5 hours per week) will support academics in the Department of International Business, Entrepreneurship and Management with their research.

Final-year student in an undergraduate management or international business programme.

We are seeking applicants who wish to gain first-hand experience in conducting research in international business, entrepreneurship and management and who are interested in communicating research to non-academic stakeholders.

This part-time role is intended for an individual who is currently enrolled in the BSc Management or BSc International Business programme and considering pursuing a PhD.

Strong written and verbal communication skills are essential. A solid understanding of the relevant discipline is required.

Research Assistant in Business Analytics (up to a maximum of 6.5 hours per week for 24 weeks)

This part-time role (up to a maximum of 6.5 hours per week) will support research carried out in the newly launched QBS Analytics Lab and the wider Department of Information Technology, Analytics and Operations with their research.

We are seeking applicants who wish to gain first-hand experience of conducting research in business analytics, and who have an interest in communicating research to non-academic stakeholders.

This part-time role is intended for an individual who is currently undertaking a Master's degree in Business Analytics in the Business School and who intends to apply to undertake a PhD in the school. Candidates will be required to include a summary of up to one page outlining the intended PhD research as part of the application. However, the application to undertake a PhD is a separate competitive process which is not linked to the application for this post.

Currently undertaking an MSc Business Analytics degree in the business school.

Knowledge of the research process, to include literature reviews and research project design and administration.

Knowledge of appropriate analytics methods.

Excellent written and verbal communication skills are also necessary.

Job Title:  Digital Fingerprinting Feature Engineering 

Nvidia CSIT Cyber-AI hub intern in feature engineering (up to a maximum of 15 hours per week for 20 weeks). 

The successful candidate will be working as an intern with the Nvidia CSIT Cyber-AI Hub project team on preparing data from multiple sources for AI training. This includes proper data storage, organization, cleaning and feature engineering/preprocessing tasks. 

The candidate will help to improve the current feature selection and engineering process for the development of the behavioral model proposed by the team. In addition, and upon obtaining successful results, the candidate is expected to assist with the integration of the software in the Nvidia Morpheus github page. 

Degree in Computer Science or in a relevant field. 

Have, or be about to obtain an artificial intelligence related postgraduate degree. 

Essential criteria: 

In depth knowledge of Artificial Intelligent/Machine Learning concepts 

Experience in data management for AI training. 

Understanding in networking and security best practices. 

Strong programming skills (Python) 

Proficient Linux/Windows skills. 

Desirable criteria: 

Experience with ML projects including feature engineering 

Understanding of cyber security concepts, e.g. Cyber Kill Chain and Defense-in-depth. 

Knowledge in the MITRE ATT&CK framework and other threat modelling tools.