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Job Description
Graduate Teaching Assistant in the School/Department of XXXX 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 ???@kcl.ac.uk 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. GTA framework tariff of activities (https://internal.kcl.ac.uk/hr/gtas/principles-gta-framework) Variation will exist across academic departments and disciplines in relation to specific requirements of GTAs. Roles and responsibilities may also be subject to change. [option for marking delete as appropriate] 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. 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 should be informed by your GTA Lead (https://keats.kcl.ac.uk/mod/book/view.php?id=2554510&chapterid=186267) about mandatory training. You can also visit the King's Academy GTA Development page (https://internal.kcl.ac.uk/kingsacademy/professional-development-and-recognition/gta-development-programme) for more information, resources and additional workshops that are available to you as a GTA.
Qualifications
Essential qualifications: 1. A first degree in a relevant subject area (or have equivalent experience). 2. Currently studying towards a PhD in a relevant subject area (or have equivalent experience) How identified and assessed - application
Skills
Experience 1. Experience of adapting own skills to new circumstances - essential 2. A good understanding of the HE sector - desirable Personal characteristics / other requirements 1. Ability to self-reflect on teaching design and delivery and act on feedback for future improvements - essential 2. Ability to work as part of a team - essential 3. 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
MORE JOBS LIKE THIS
This is an exciting opportunity within the London Metropolitan University Cyber Security Research Centre to work as a Research Fellow under the supervision of Dr Mohamed Chahine Ghanem and Professor Vassil Vassilev. This Innovative research is funded by InnovateUK under the CyberASAP Phase 2 program and aims to develop a Minimum Viable Product for CyDRA which is a desktop software for cyber security by design enabling risk and vulnerability assessment in transactions and security threats.
the successful candidate is to design and develop a dashboard for controlling the work with the software for logical analysis of vulnerability and risk assessment in transactions under security threats, convert the graph into different formats and integrate the software components for modelling the intelligence graphs with the analytical components for data processing.
The Pay Rate is 17.64?/hour and the position is fixed-term (ends 28/02/2025) and Part-Time 20 hours per week
The successful candidate is expected to :
1. Conduct research
1.1 Undertake independent research activities, including research projects.
1.2 Make a significant contribution to the development of appropriate methodologies, together with the initiation and implementation of research work.
1.3 Advise on and operate specific research techniques, for example, qualitative, quantitative or literature-based approaches.
1.4 Significant role in progressing research projects including the collection and analysis of data and the writing of reports.
2. Presentation of findings
2.1 Contribute to the presentation of findings to sponsors, potential sponsors, members of University staff and to wider academic fora.
2.2 As required, produce documentation and participate in formal presentations of findings.
2.3 Contribute to the publication of research findings in suitable publications.
3. Research funding
3.1 Contribute to the preparation of research proposals within the area of expertise.
3.2 Contribute to the instigation of research and/or consultancy projects
4. University/school profile
4.1 Engage in networking and promoting the profile of the school, both internally and externally.
Qualifications
AT LEAST an MSc (Graduated or Awaiting the viva) in Software Engineering or Cyber Security
Skills
Knowledge of networking, communication and real-time data processing principles, experience developing integrated systems which include communication, data transformation and integration and practical skill for programming in Python, Java, or OS scripts.
This is an exciting opportunity within the London Metropolitan University Cyber Security Research Centre to work as a Research Fellow under the supervision of Dr Mohamed Chahine Ghanem and Professor Vassil Vassilev. This Innovative research is funded by InnovateUK under the CyberASAP Phase 2 program and aims to develop a Minimum Viable Product for CyDRA which is a desktop software for cyber security by design enabling risk and vulnerability assessment in transactions and security threats.
The successful candidate is to design and develop analytical software components for vulnerability analysis and risk assessment in transactions under security threats based on POMDP methodology and intelligence graphs in ontological models.
The Pay Rate is 17.64?/hour and the position is fixed-term (ends 28/02/2025) and Full-Time 37 hours per week
The successful candidat is expected to :
1. Conduct research
1.1 Undertake independent research activities, including research projects.
1.2 Make a significant contribution to the development of appropriate methodologies, together with the initiation and implementation of research work.
1.3 Advise on and operate specific research techniques, for example, qualitative, quantitative or literature-based approaches.
1.4 Significant role in progressing research projects including the collection and analysis of data and the writing of reports.
2. Presentation of findings
2.1 Contribute to the presentation of findings to sponsors, potential sponsors, members of University staff and to wider academic fora.
2.2 As required, produce documentation and participate in formal presentations of findings.
2.3 Contribute to the publication of research findings in suitable publications.
3. Research funding
3.1 Contribute to the preparation of research proposals within the area of expertise.
3.2 Contribute to the instigation of research and/or consultancy projects
4. University/school profile
4.1 Engage in networking and promoting the profile of the school, both internally and externally.
Qualifications
AT LEAST an MSc (Graduated or Awaiting the viva) MSc in Artificial Intelligence, MSc Data Analytics, MSc Software Engineering
Skills
Theoretical knowledge of logical and stochastic methods for decision-making (ontological, MDP, and POMDP models in particular) and experience in programming analytical processing algorithms for graph traversal and stochastic optimisation. Practical skills in algorithmic programming in Python and processing symbolic data in XML or JSON format.
This is an exciting opportunity within the London Metropolitan University Cyber Security Research Centre to work as a Research Fellow under the supervision of Dr Mohamed Chahine Ghanem and Professor Vassil Vassilev. This Innovative research is funded by InnovateUK under the CyberASAP Phase 2 program and aims to develop a Minimum Viable Product for CyDRA which is a desktop software for cyber security by design enabling risk and vulnerability assessment in transactions and security threats.
The successful candidate is to design and develop a graphical editor for the interactive creation of directed graphs by creating nodes and edges from different types, attaching numerical weights to them, propagating calculated values along the paths within the graph, associating rules for branching and merging of the graph nodes, storing and loading in persistent memory, embedding and using templates.
The Pay Rate is 17.64?/hour and the position is fixed-term (ends 28/02/2025) and Full-Time 37 hours per week
The successful candidat is expected to :
1. Conduct research
1.1 Undertake independent research activities, including research projects.
1.2 Make a significant contribution to the development of appropriate methodologies, together with the initiation and implementation of research work.
1.3 Advise on and operate specific research techniques, for example, qualitative, quantitative or literature-based approaches.
1.4 Significant role in progressing research projects including the collection and analysis of data and the writing of reports.
2. Presentation of findings
2.1 Contribute to the presentation of findings to sponsors, potential sponsors, members of University staff and to wider academic fora.
2.2 As required, produce documentation and participate in formal presentations of findings.
2.3 Contribute to the publication of research findings in suitable publications.
3. Research funding
3.1 Contribute to the preparation of research proposals within the area of expertise.
3.2 Contribute to the instigation of research and/or consultancy projects
4. University/school profile
4.1 Engage in networking and promoting the profile of the school, both internally and externally.
Qualifications
AT LEAST an MSc (Graduated or Awaiting the viva) in Computer Graphics, MSc in Artificial Intelligence
Skills
Experience in the visual development of Web applications, processing markup data, and interacting with file systems and NoSQL databases. Working skills in programming using JavaScript and Python and processing symbolic data in XML or JSON format.
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