Graduate Teaching Assistant GTA - Informatics 2024-25

Job Description

Graduate Teaching Assistant (GTA), Department of Informatics

We are now recruiting Teaching Assistants (TAs) for the academic year 2024/25 for both first and second-year modules (Levels 4 and 5), as well as some third-year and Master?s level modules (Levels 6 and 7). Please be aware, that all activities will be in person and on campus in the 24/25 academic year.  

Teaching Assistants are an integral part of a departmental teaching team; they are highly valued by the student community and academic staff they work with. Being a Teaching Assistant can involve a wide variety of different roles, including: 

 Demonstrating in labs and practical sessions 

 Leading seminars/small group teaching 

 Taking tutorials/surgery sessions 

 Delivery feedback 

 Marking student?s work  

Becoming a TA offer vital teaching experience as well as other transferable skills, essential for careers in both academia and industry. These are paid positions, in line with the College?s GTA Framework (as detailed below). 

Successful candidates will deliver an agreed delivery package of teaching activities to a high standard, under the direct supervision of a member of academic staff. These activities may include seminars, classes, tutorials, lab sessions, other small group work, and marking.  

 The allocation of duties will be specifically determined after the recruitment process however working hours will not exceed 6 hours per week (on average). 

 

Your Module Convenor will be your Line Manager, if you have any queries or questions, please make your enquiry with them first. If you have any other query regarding your employment, please email Informatics-ta@kcl.ac.uk.  

 

Please be aware, all activities will be in person and on campus in the 24/25 academic year. 

 

Responsibilities 

- Delivery of agreed package of teaching activities to a high standard, under the direct supervision of a member of academic staff. These activities may include seminars, classes, tutorials, lab sessions, other small group work to develop student skills, demonstration for experiments/techniques in lab-based science and computing, and/or mentoring support for UG or PGT project work. Students will not normally be involved in lecturing, but in some cases may be asked to lead lectures if the topic falls within their specialist field. 

- Participation in appropriate training including mandatory courses/sessions (e.g., courses, induction sessions.) 

- Careful and proportionate preparation for teaching activities. In some instances, materials will be provided by departments/ faculties. 

- Marking and assessment (formative and summative) under supervision of module leaders or other appropriate academic staff. 

- Provision of timely and useful formative and summative feedback to students, holding weekly office hours or similar to provide students with opportunities for face-to-face meetings, and providing feedback and guidance via e-mail where needed. 

- Maintenance of information and resources on KEATS and interaction with students via the VLE. 

- Attendance at lectures where needed/requested to ensure consistency of module delivery. 

- Routine administration and correspondence associated with teaching delivery. 

- Liaison with senior colleagues regarding contributions to module development (e.g. course material, content development), planning of teaching and monitoring student progress.  

 

Variation will exist across academic departments and disciplines in relation to specific requirements of GTAs. Roles and responsibilities may also be subject to change. If you are required to complete additional marking, these hours will be added to your assignment and your hours and contract length will be changed accordingly with your agreement after you have started. 

 

GTA framework tariff of activities: https://internal.kcl.ac.uk/hr/gtas/principles-gta-framework  

 

GTAs will not be expected to: 

- Lead lectures, unless they have accepted to do so on a very occasional basis, in their specialist field 

- Provide pastoral support to students or act as a personal tutor 

- Be involved in Open Days or admissions activities - Provide students with references 

- Set assessments 

- Be available to students at all times 

- Carry out unremunerated additional work on an ad hoc basis  

 

Mandatory training 

All mandatory training (specific to the delivery of teaching, rather than generic training which all PhD students should already be undertaking as part of their studies) will be remunerated. Under the new model, all GTAs will receive 6 hours of remunerated training for every academic year in which they teach at King's, regardless of whether they have taught before or not. It is envisaged that this would constitute 6 hours of jointly delivered training with King's Academy and academic departments. Some faculties may decide that they wish to include more mandatory training and to pay their GTAs for this. It is also up to departments and faculties to work with King's Academy to decide what constitutes mandatory training, which element of this can be delivered online, and what constitutes professional development training for all PGRs. You will be informed by your GTA Lead about mandatory training. You can also visit the King's Academy GTA Development page for more information, resources and additional workshops that are available to you as a GTA. 

 

GTA One Stop Shop Training: https://keats.kcl.ac.uk/mod/book/view.php?id=2554510&chapterid=186267  

King?s Academy GTA Development Page: https://internal.kcl.ac.uk/kingsacademy/professional-development-and-recognition/gta-development-programme  



Qualifications

Essential qualifications: 

1. Currently studying towards a first degree in a relevant subject area (or have equivalent experience) 

or 

2. Currently studying towards a PhD in a relevant subject area (or have equivalent experience)  



Skills

Experience / Skills Required: 

1. Experience of adapting own skills to new circumstances - essential 

2. A good understanding of the HE sector ? desirable 

3. Ability to provide advice to students on study skills and assist with any learning problems ? desirable   

 

Personal characteristics / other requirements: 

1. Ability to self-reflect on teaching design and delivery and act on feedback for future improvements ? essential 

2. Effective interpersonal skills, both written and verbal, to support and liaise with staff and students at all levels - essential 

3. Ability to work as part of a team - essential 

4. Ability to motivate high performance in others ? desirable 

 

Role specific requirements: 

1. Ability and willingness to engage in relevant departmental training and introductory pastoral support training - essential 

2. Keep abreast of current literature in subject areas being taught - essential 

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The applicant will support an educational research project in the Faculty of Dentistry, Oral and Craniofacial Sciences. The research involves analysing data collected from a dashboard including teacher feedback, student feedback and self-reflections.

The role includes conducting thematic analyses and working with quantitative data. The successful candidate will be supported in developing their qualitative and quantitative research skills through guidance towards self-directed learning resources and ad-hoc training to enhance their expertise. 

The Research Assistant will contribute to generating meaningful insights to inform educational practices, particularly in assessment and feedback.

Key responsibilities:

  1. Clean, process and manage datasets from multiple excel sources for analysis.
  2. Provide quantitative and qualitative research support.
  3. Assist in conducting thematic analyses to identify themes from qualitative data.
  4. Perform quantitative analysis of student grade performance.
  5. Participate in discussions, communicating and presenting research at meetings.
  6. Contribute to writing reports, presentations and academic publications.


Qualifications

A third-year undergraduate student or above in any subject area.



Skills

Desirable skills: 

  1. Knowledge of qualitative and quantitative research methods and techniques 
  2. Some understanding of thematic analysis and experience in working with large datasets. 

Required skills:

  1. Basic knowledge of excel.
  2. Ability to work independently and collaboratively remotely.
  3. Ability to manage tasks and deliver results under tight deadlines.
  4. Strong work ethic, commitment to data accuracy.
  5. Ability to work with limited supervision.

To provide practical and emotional support to assist a student on the autism spectrum in taught sessions (lectures, seminars and labs). To support the student with explaining tasks and providing mutual regulation strategies that will ensure widening participation and access, academic progress and student retention in compliance with the Equality Act and the mission of Student Services.

This role is 9.5 hours a week distributed as below:

  • Monday 2.5 hours: 10-11am; 12-1pm (IT class); 2pm-3:30pm
  • Tuesday 3 hours: 11-1pm; 4-5:30pm
  • Wednesday 1.5 hours: 9- 11am
  • Thursday 1.5 hours: 10-11:30am (lab)

There will be breaks in between taught sessions.



Qualifications

Minimum of 5 GCSEs (or equivalent) at Grade A-C including English and Mathematics - Essential
A level qualifications (or equivalent), or equivalent relevant experience - Essential
Educated to degree level in a relevant field or equivalent experience - Desirable 
Relevant further educational or professional qualifications e.g. Mental Health First Aid. - Desirable
 



Skills

Experience

  • Experience of studying in Higher Education - Essential
  • Knowledge of autism spectrum condition - Desirable
  • Some experience/understanding of providing support for individuals on the Autism Spectrum - Desirable

Skills

  • Knowledge of SCERTS/Autism Spectrum Condition - Desirable
  • Mutual Regulation strategies: e.g. deep pressure techniques, grounding and breathing strategies - Desirable
  • Thorough knowledge of the campus - Essential
  • Awareness of disability issues ? recognising the most effective method of communicating during periods of dysregulation - Essential

Attitude

  • Outgoing; great interpersonal skills - Essential
  • Must be able to work calmly under pressure - Essential
  • Must be able to support and manage fluctuating behaviours - Essential
  • Must be willing to attend relevant training sessions arranged by the Disability and Dyslexia Service - Essential

Other - All essential

  • Flexible working timetable
  • This post is subject to a basic DBS check.
  • The ability to meet UK ?right to work? requirements

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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. 



Qualifications

Degree in Computer Science or in a relevant field. 

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



Skills

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. 

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