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Job Description
Job Title: Synthetic ML Training Data Generation
Nvidia CSIT Cyber-AI hub intern in Synthetic ML Training Data Generation (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 to assist the research on generating synthetic network and system logs data in use for ML training. This role involves assisting the creation of robotic-process automation-based tools that simulate the human/machine to machine interactions in an enterprise network. Using the tools created, generate network and machine data for ML training purposes.
Another main responsibility is to assist the research on using Large-Language Models to generate data that are comparable to the ones that are generated by the aforementioned tools, and indeed real logs and network data. This will require the research and creation of a data comparison tool.
Qualifications
Degree in Computer Science, Cyber security or in a relevant field.
Have, or be about to obtain an artificial intelligence related postgraduate degree.
Skills
Essential criteria:
Advanced Python programming skills.
In depth knowledge in Artificial Intelligent/Machine Learning
Prior knowledge of generative-AI and Large-Language Models
Experience in data management for AI training.
Proficient Linux and Windows skills and experience in code management.
Desirable criteria:
Advanced understanding in networking and security best practices.
In depth knowledge on cyber security concepts, e.g. Cyber Kill Chain and Defense-in-depth.
Experience in network administration.
Working knowledge of network emulation
Knowledge in the MITRE ATT&CK framework and other threat modelling tools.
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The primary responsibilities of the research assistant will involve overseeing participant recruitment and conducting on-site eye-tracking data collection sessions at the Waterloo Bridge Wing building, located on the Waterloo campus. Additionally, the RA will handle initial data trimming and processing. The breakdown of allocated hours for each task is as follows:
15 hours for preparation, training, and meetings.
40 hours for testing: accommodating 40 participants with sessions lasting 1 hours each.
5 hours for data processing.
The research assistant will receive comprehensive training and mentoring to successfully carry out these responsibilities.
Interviews will take place mid-January.
Qualifications
BA/MA in Linguistics, Psychology or related discipline.
Skills
Essential:
Familiarity and ability to use Microsoft packages (e.g., good Excel command).
Undergraduate level knowledge in linguistics, psychology and/or education research or related field.
Desirable:
Interest in eye-tracking methodologies.
Experience with statistical analysis applied to language-related research.
This position entails working as a research assistant for a study that investigates the development of Catalan as a heritage language in the United Kingdom. The project is led by Eloi Puig-Mayenco from the School of Education, Communication, and Society at King?s College London.
The primary responsibilities of the research assistant will involve overseeing participant recruitment and conducting remote participant in two testing sessions in a battery of tasks (assessment of receptive vocabulary, production of specific syntactic structures and elicitation of spontaneous production data). Additionally, the RA will handle initial data trimming and processing. The breakdown of allocated hours for each task is as follows:
1. 30 hours for preparation, training, and finalizing materials.
2. 100 hours for testing: accommodating 40 participants in two sessions lasting 1 hour each hours, alongside organization of the data from testing sessions for 30 minutes. In total, the RA will spend 2.5 hour per participant.
3. 20 hours for initial data trimming.
The research assistant will receive comprehensive training and mentoring to successfully carry out these responsibilities.
Interviews will take place mid-January.
Qualifications
BA/MA in Linguistics, Education, Psychology or related discipline.
Skills
Essential:
Familiarity and ability to use Microsoft packages (e.g., good Excel command)
Undergraduate level knowledge in linguistics, psychology and/or education research or related field
Excellent working proficiency in both Catalan and English
DBS certificate
Desirable:
Experience working with children
Good organisational skills
Social awareness and good communication skills
Experience in research methodologies
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Qualifications
A PhD.
Skills
Essential:
Knowledge of research into gender inequality in STEM education.
Experience of conducting semi-structured interviews.
Experience of the analysis of interview data.
Experience of writing papers related to gender inequality in STEM education.
Desirable:
Experience of preparing materials for semi-structured interviews.
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