Researcher

Job Description

To conduct a systematic literature review of online and face-to-face group-based shame-reduction interventions.



Qualifications

MSc in an area related to psychosocial care - preferably diabetes related



Skills

Diabetes psychosocial research experience essential



Literature review experience

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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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