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- Aufgaben: Design IQ-style challenges to test cognitive skills like pattern recognition and logical deduction.
- Arbeitgeber: Join a cutting-edge AI research team focused on understanding intelligence and problem-solving.
- Mitarbeitervorteile: Gain hands-on experience in AI research and enhance your analytical skills.
- Warum dieser Job: Be part of innovative projects that contribute to the future of cognitive assessment.
- Gewünschte Qualifikationen: Ideal for STEM students with strong logical thinking and creativity; programming skills not required.
- Andere Informationen: Perfect opportunity for those looking to make an impact in AI research.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
Description and objectives
You will create IQ-style reasoning challenges that test cognitive skills like pattern recognition, logical deduction, and abstract thinking. The goal is to develop a diverse set of reasoning tasks for research purposes, improving our understanding of problem-solving and intelligence assessment.
Required skills
Seeking STEM students with a strong logical mindset, creativity, and excellent problem-solving abilities. A structured analytical approach is a plus, while a high level of programming expertise is not required.
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Task design for AI Research Arbeitgeber: ETH get hired
Kontaktperson:
ETH get hired HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Task design for AI Research
✨Tip Number 1
Familiarize yourself with different types of reasoning challenges and cognitive tests. This will help you understand what makes a good IQ-style challenge and how to create diverse tasks that effectively assess various cognitive skills.
✨Tip Number 2
Showcase your creativity by developing unique and engaging reasoning tasks. Think outside the box and consider how you can incorporate real-world scenarios into your challenges to make them more relatable and interesting.
✨Tip Number 3
Highlight any relevant projects or experiences where you've applied logical reasoning or problem-solving skills. This could include academic work, personal projects, or even group activities that demonstrate your analytical mindset.
✨Tip Number 4
Network with professionals in the AI research field. Attend workshops, webinars, or conferences related to cognitive science and AI to meet people who can provide insights and potentially refer you to opportunities at StudySmarter.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Task design for AI Research
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully grasp the responsibilities of creating IQ-style reasoning challenges. Familiarize yourself with cognitive skills like pattern recognition and logical deduction, as these will be central to your application.
Highlight Relevant Skills: Emphasize your STEM background and any experiences that showcase your logical mindset and problem-solving abilities. Provide specific examples of how you've approached complex problems creatively.
Showcase Analytical Thinking: Demonstrate your structured analytical approach in your application. You might include a brief description of a project or task where you applied this method effectively.
Tailor Your Application: Customize your CV and cover letter to reflect the job description. Use keywords from the listing, such as 'cognitive skills', 'creativity', and 'problem-solving', to align your application with what the company is looking for.
Wie du dich auf ein Vorstellungsgespräch bei ETH get hired vorbereitest
✨Showcase Your Logical Mindset
Be prepared to discuss your approach to problem-solving and how you apply logical reasoning in your work. Share specific examples of challenges you've faced and how you tackled them.
✨Demonstrate Creativity in Task Design
Think outside the box when discussing potential IQ-style reasoning challenges. Bring ideas that reflect your creativity and ability to design engaging tasks that test cognitive skills.
✨Highlight Your Analytical Skills
Since a structured analytical approach is a plus, be ready to explain how you analyze problems and develop solutions. Use past experiences to illustrate your analytical thinking process.
✨Prepare for Technical Questions
While high-level programming expertise isn't required, familiarize yourself with basic programming concepts. Be ready to discuss how you can leverage technology in task design, even if it's at a fundamental level.
