At a Glance
- Tasks: Conduct data analysis and develop interactive systems using electronics.
- Company: Join a forward-thinking research team focused on human-computer interaction.
- Benefits: Gain hands-on experience, mentorship, and opportunities for innovation.
- Why this job: Combine your passion for tech with real-world applications in an exciting research environment.
- Qualifications: Proficiency in JavaScript, Python, and experience with Raspberry Pi and Arduinos.
- Other info: Perfect for tech-savvy individuals eager to explore the intersection of data and physical computing.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Data analysis is crucial, ranging from qualitative thematic analysis to appropriate statistical interrogation.
Technical Proficiency
The individual is comfortable with JavaScript, Python, and React for iOS and Android platforms.
Experience with Electronics
The candidate has experience working with electronics, including Raspberry Pi's and Arduinos, to develop physical, peripheral, and environmental interactive systems.
HCI Research Fellow — Data Analysis & Physical Computing in Southampton employer: Java Script Works
Contact Detail:
Java Script Works Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HCI Research Fellow — Data Analysis & Physical Computing in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the HCI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects and any cool stuff you've built with Raspberry Pi or Arduino. This will give potential employers a taste of what you can do.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by brushing up on your technical skills, especially in JavaScript, Python, and React. Mock interviews with friends can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace HCI Research Fellow — Data Analysis & Physical Computing in Southampton
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis in your application. We want to see how you've tackled both qualitative and quantitative data, so share specific examples that showcase your analytical prowess!
Tech Proficiency is Key: Don’t forget to mention your technical skills! If you're comfortable with JavaScript, Python, or React, let us know how you've used these in past projects. We love seeing how you can apply your coding skills to real-world problems.
Electronics Experience Matters: If you've worked with Raspberry Pi's or Arduinos, make sure to include that in your application. We’re keen on candidates who can develop interactive systems, so share any relevant projects or experiences you've had!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Java Script Works
✨Brush Up on Your Data Analysis Skills
Make sure you’re well-versed in both qualitative and quantitative data analysis techniques. Be prepared to discuss specific examples of how you've applied these skills in past projects, as this will show your depth of knowledge and practical experience.
✨Show Off Your Technical Proficiency
Familiarise yourself with JavaScript, Python, and React, especially in the context of iOS and Android development. During the interview, be ready to talk about your previous projects using these technologies and how you overcame any challenges.
✨Demonstrate Your Electronics Experience
If you’ve worked with Raspberry Pi's or Arduinos, bring along examples of your work or be prepared to discuss them in detail. Highlight any interactive systems you’ve developed and how they relate to the role, as this will showcase your hands-on experience.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, particularly in relation to data analysis and physical computing. Think of scenarios where you had to troubleshoot issues or innovate solutions, and be ready to explain your thought process.