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What do Large Language Models actually know?Intern: Jenelle BankasDegree course: BSc Computer Science https://www.linkedin.com/in/jenellebankas Why did you apply for this internship?I’ve always loved the idea of consulting in the tech space and wanted to gain some hands-on experience. While searching for summer internships, I saw plenty of opportunities in software engineering or consulting, but none that combined both but also incorporated my love for learning. When I came across the listing for this internship, it felt like the perfect fit. The chance to learn software engineering practices, gain practical experience across a wide breadth of topics, and consult while interacting with people from all walks of life really appealed to me and motivated me to apply.What do you hope to gain in completing this project?I hope to finish the internship with a deeper understanding of software engineering, meaningful connections, and stronger technical and soft skills. I recognise the interdisciplinary nature of N8 CIR, and by completing this project, I know it will push me out of my comfort zone, allowing me to learn through practice while building on my knowledge through interactions with a wide range of individuals.
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From Modern Tweets to Victorian Broadsheets: Sentiment Analysis Software for Victorian LiteratureIntern: Maddison WillettsDegree course: English Language and Literature https://www.linkedin.com/in/maddison-willetts-3294922bb/ Why did you apply for this internship?I applied for this internship as I viewed it as a valuable and unique opportunity to combine my passion for English Language and my interests in computational solutions to research challenges. I was particularly excited by the project that I chose as the problems identified by Emily Middleton in conducting sentiment analysis were challenges that I had also faced.What do you hope to gain in completing this project?I hope to gain a comprehensive understanding of the challenges faced by research software engineers and the methods through which they create solutions to solve these problems. I also hope to acquire a new confidence in coding to create computational research solutions.
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#Wardsonar technical developmentIntern: Mysha ZamanDegree course: BSc Computer Science with Artificial Intelligence http://linkedin.com/in/mysha-zaman Why did you apply for this internship?As a second-year BSc Computer Science and Artificial Intelligence student with a strong interest in mental health, I’m excited by the opportunity for the #WardSonar project. My work with MindMate has deepened my understanding of the challenges faced by individuals in mental health settings, and I’m passionate about using technology to create safer, more responsive care environments. This internship perfectly aligns with my interest in user-centric design, data security, and digital health innovation. I’m eager to apply my technical skills while learning from a multidisciplinary team to help redevelop #WardSonar into a mobile app that can make a real impact in the NHS and beyond.What do you hope to gain in completing this project?I hope to gain practical experience in developing user-centered, secure digital health solutions that address real challenges in mental health care. I’m keen to learn how to co-design technology with healthcare professionals and service users, while building skills in ethical decision-making, problem-solving, and interdisciplinary teamwork.
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