People Operations - Master's Thesis 'AI-based Feedback Systems'
基本反是团队可以互相交给最有价值的东西之一，也是最难得到的。太一般，太晚或从来没有写下来的。我们想知道人工智能如何帮助人们提供更好的，更及时的反，而不取出人类。这就是你的主题论文的地方。巨人群是一个由现代企业在全球使用的开源基础设施管理平台。我们已经完全远程了10多年，这意味着我们的大量合作和反都是在书面上发生的。这使我们成为你研究的现实世界。你的工作 - 研究组织中人工智能支持的反现状：分析目前在巨人群中反流动的方式和人们被困的地方。- 设计和构建基于人工智能的反系统的工作原型。- 在我们远程团队中的真正用户中测试并评估你的原型。- 远程工作，灵活的开始日期和灵活的持续时间。- 论文可以以英语或德语写作。要求 - 目前在商业管理，信息系统，人力资源管理，人与计算机互动，心理学，组织心理学或相关领域的士课程上注册。- 对人工智能以及它如何改变人们协同工作的方式有很大的兴趣。- 你喜欢使用无码和人工智能的工具工作。- 有良好的分析技能和对质量和/或定量的研究方法的经验。- 英语中优秀的书面和口头沟通能力。- 在远程团队里独立工作的能力。- 地点：录取于德国。工资信息薪酬每月1000欧元，为论文的持续时间。关于我们 每个新团队成员都会改变团队。我们喜欢互相学习，我们寻找那些不知道的事情的人。- 成为巨人群体的一部分意味着你也将作为云原住民社区的一部分。我们积极参与上游项目，我们的季度黑客赛将提供更多信息。
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The Basics
Feedback is one of the most valuable things a team can give each other, and one of the hardest to get right. Too generic, too late, or never written down at all. We want to find out how AI can help people give better, more timely feedback, without taking the human out of it. That's where your master thesis comes in.
Giant Swarm is a leading open-source infrastructure management platform used by modern enterprises worldwide. We've been fully remote for 10+ years, which means a lot of our collaboration and feedback happens in writing. That makes us a real-world lab for your research.
Your Job
- Research the current state of AI-supported feedback in organisations: what works, what doesn't, and where the ethical lines are.
- Analyse how feedback currently flows at Giant Swarm and where people get stuck.
- Design and build a working prototype of an AI-based feedback system.
- Test and evaluate your prototype with real users in our remote team.
- Treat data privacy, transparency, and trust as core parts of the design, not as an afterthought.
### What We Offer
- A paid master thesis.
- A real research question with real users and direct access to our People team.
- Two company supervisors: Anna, our VP People, and one of our engineers, alongside your university supervisor.
- Insights into how a fully remote, organised company works day to day.
- Remote work, flexible start date, and flexible duration.
- Thesis can be written in English or German.
Requirements
- Currently enrolled in a master's programme in Business Administration, Information Systems, Human Resource Management, Human-Computer Interaction, Psychology, Organisational Psychology or a related field.
- Strong interest in AI and how it changes the way people work together.
- You enjoy working with no-code and AI tools.
- Good analytical skills and experience with qualitative and/or quantitative research methods.
- Excellent written and verbal communication skills in English.
- Ability to work independently in a remote team.
- Location: enrolled in Germany.
Salary Information
Compensation of €1,000 per month for the duration of your thesis.
About us
Every new team member changes the team. We love to learn from each other and we are looking for people who know things we don’t.
- Becoming part of Giant Swarm means that, by extension, you also become part of the Cloud Native community. We actively contribute to upstream projects and our quarterly hackathons will give you space to work on out-of-the-box projects. Occasionally, when we, as a team, want to fully focus on one project, we scratch all meetings and routines for a certain time to better focus during our [hive-sprints](https://www.giantswarm.io/blog/climbing-mount-everest-with-cluster-api-giant-swarm).
- Continuous learning is important to us - we foster this through bi-yearly personal development talks, a budget for training/certifications/coaching as well as regular feedback talks and workshops. Our teams are cross- functional and collaboration is key.
- Nothing crazy, but useful Basics: We currently operate on a 32 hour workweek (or 4 day workweek, you decide!). We don't count holidays but set a minimum number; You choose your own hard- and software; As a company that has almost, if not more, kids than employees, family-friendliness is crucial to us and paid parental leave is a no-brainer; We pay monthly perks that cover your costs for working remotely; We meet twice a year as an entire company and (if possible) see conferences as an important place to catch up with team members; We aim to be fully transparent (finance, salaries) unless it hurts people and trust you, based on this to make the best decisions
- A note on the use of AI in our hiring process: real people read every application, no AI screening, no automated filters. We build tools, we use tools, we get excited about tools. We also know better than most that the best ones change what’s possible. What we’re looking for is how you really think, what you’ve built, and how you see the world. Using AI is fine - just don't miss the chance to let us get to know **you**. After all, humans are way more fun to meet at our onsites!
We failed in exactly describing our way to approach important company elements that can be described with ‘buzzwords’ such as agile mindset, cross-functional teams, self-organization, value of the individual or trust & teamwork. However, we truly care about them, we live them and we constantly iterate on them. Some snippets about how we do this are posted in our [blog](https://www.giantswarm.io/blog) but by far not all of them.
Important note: We are not hiring job descriptions. We hire humans. :) We welcome applications from everybody, regardless ethnic or national origin, religion, gender identity, sexual orientation or age. When you apply for a role at Giant Swarm, we will also consider you for other relevant roles, or ones that may come up in future if this one isn't a good fit at this time.