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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 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.
Working with the Director of HR Operations, Head of Contingent Workforce and Procurement Directorate, this role will be responsible for sourcing, collecting, organising, analysing and interrogating all recruitment related spend category data. Findings will be reconciled to recruitment outcomes so that the spend can be attributed to contingent worker salaries and fees, agency placement fees and advertising related recruitment costs, with the overall aim to reduce spend on non-permanent agency costs. All data and analysis to be the presented and translated into information and insight that meets the needs of various stakeholders across the university and will contribute to a drive to reduce overall costs.
This is a hybrid position, you will be expected to work in the office 2 days per week.
Qualifications
None
Skills
The job holder will source and gather data from known/standard sources - manipulating routine data so it can be interpreted by others. They may be required to select the most appropriate procedure, technique or approach to conduct analysis and research, deciding how to undertake the work as well as analysing, identifying, and interpreting trends. The job holder will be expected to have excellent understanding of specialist tools to extract the data needed as well as an advanced knowledge of Excel, Power BI, Tableau etc.
- Work with HR and Procurement teams to investigate and identify all agency and advertising recruitment spend using a variety of systems and platforms.
- Work with the Recruitment advisers to ascertain the actual status and outcome of all current vacancies.
- Collaboratively work with internal and external stakeholders to investigate and review the data required to complete the objective of reducing agency spend within Kings for non-permanent staff.
- Identify activity data for each vacancy advertisement, including views, impressions, applications, shortlisted candidates, and placements, to ascertain value for money and inform future decisions.
- Produce visualisations and reports (using tools like Tableau, Power BI, and SQL) and present findings to both technical and non-technical stakeholders in a clear, actionable manner showing usage data and trends to inform future sourcing and hiring decisions.
- Create data dashboards, graphs and visualisations
- Work with the recruitment team to incorporate data capture and analysis.
- Support Manager with data analysis for all activity with all external providers.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Essential criteria
Experience using PowerBI for data analysis and reporting
Strong technical skills in data analysis, optimisation, and dashboard creation.
Strong analytical skills, with the ability to interpret and synthesise large data sets.
Experience of collaboratively working with internal and external stakeholders.
Excellent communication and problem-solving abilities.
Problem-solving skills with the ability to troubleshoot data issues and improve reporting processes.
Strong attention to detail and commitment to data accuracy.
Desirable criteria
Experience in the higher education sector or a similar environment.
Experience working with other data visualisation tools and methodologies.
Background
The Sustainable Research Team and Biosciences Education Team have received funding from Education for Sustainability team to work together to develop resources to embed sustainability into the bioscience's undergraduate curricula.
As scientific researchers, we have an ethical responsibility to reduce the environmental impact of our work. Laboratories consume between three and ten times more energy per square foot than office spaces, and biological and medical research contributes significantly to global plastic waste. Current bioscience students at King's College London (KCL) receive minimal exposure to sustainable practices in labs until they progress to further studies or work. Integrating sustainability concepts into the curriculum from the start will equip students with essential skills, preparing them to incorporate sustainable approaches in their future research.
Part of this fund is allocated to hire TWO Sustainability Research Assistants to help perform the key tasks of the project during 4 hours a week. Please ensure you have your supervisor's support to take part in this project as the working hours will typically be Monday-Friday 9-6pm.
Responsibilities
Conduct a systematic review of sustainability teaching in the biosciences and similar fields to understand existing content and research.
Utilising this review, conduct surveys and focus groups with undergraduate biosciences students to identify learning gaps in sustainability and preferences for delivery of content.
Analyse survey responses and make suggestions for learning outcomes and delivery methods of new sustainability content in the bioscience curricula.
Organise and host an away day bringing together module and programme leads, technical staff and other stakeholders involved in the biosciences courses to understand where to place new content, and analysing outcomes from the day.
Develop initial resources for content in years 1, 2, and 3 and gather feedback from students on content and delivery proposals.
Organise and host a final workshop with academic and technical staff to demonstrate use of new resources.
Coordinating with project lead- Sustainability Innovation Lead (Research) Dr Marcelo Salierno
Qualifications
An undergraduate degree in a wet laboratory-based science.
Skills
You will have.....
Knowledge
Essential: Bioscience and laboratory skills including understanding of contamination and waste
Desirable: Knowledge of sustainable science or the LEAF programme, including knowledge of using resources efficiently including equipment and consumables, water and energy use.
Experience
Essential: Demonstrating experience or lecture experience in bioscience or chemistry lab practicals
Essential: Experience performing literature reviews.
Skills
Essential: Able to use their initiative and work independently
Essential: Able to work to tight deadlines as this project is only funded for 6 months.
Desirable: Writing qualitative surveys
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