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Research Intern - Impact of Occasional Work Experience

 

Job Description

The School of the Built Environment and Architecture are looking for a Intern to work on the below Research Project starting asap until the 22nd of July 2024.



The project is 95 hours of work to be completed between the start date in February 2024 and the 22nd of July 2024. You must not complete more than 20 hours in one week.



The salary for the role is £13.31 per hour. 




  1. Engage in research projects, contributing to cutting-edge discoveries and innovations.

  2. Collaborate with esteemed faculty and industry experts, expanding your professional network.

  3. Take part in seminars and workshops, enhancing your knowledge and skills in diverse disciplines.

  4. Assist with organizing academic events and activities, showcasing your leadership and organizational abilities.

  5. Conduct independent research alongside line manager, fostering a spirit of inquiry and critical thinking.

  6. Contribute to the vibrant academic community, sharing ideas and insights with peers.

  7. Engage in writing journals/conference paper to gain experience that prepares you for future success.



Qualifications

Any built environment related discipline.



Skills

  1. Must be a master’s degree or PhD student.

  2. Must be familiar with analysing and critically reviewing journal papers.

  3. Demonstrate exceptional academic performance, with a focus on relevant coursework and achievements.

  4. Showcase a passion for research and a drive to contribute to the University’s academic excellence.

  5. Possess strong communication and teamwork skills, vital for engaging in collaborative projects.

  6. Display adaptability and a thirst for learning, as the internship offers diverse opportunities.

  7. Strong work ethic and commitment to making a meaningful impact in your chosen field.

  8. Ability to use Microsoft Teams, Phone call conversation, Survey monkey amongst others.

  9. Ability to analyse data quantitatively and qualitatively with the help of SPSS, NVIVO, etc.

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