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- Tasks: Develop innovative machine learning techniques to detect inner speech from EEG data.
- Company: Leading higher education institution focused on impactful neuroscience research.
- Benefits: Flexible part-time role with opportunities for significant contributions.
- Why this job: Join a pioneering team and advance neuroscience with cutting-edge technology.
- Qualifications: PhD in a relevant field and expertise in deep learning for time-series data.
- Other info: Ideal for those passionate about research and making a difference.
The predicted salary is between 36000 - 60000 £ per year.
A leading higher education institution seeks a Senior Research Associate in Machine Learning for Spontaneous Inner Speech Detection. The role involves developing novel machine learning techniques to detect inner speech from EEG data using Python with frameworks like PyTorch or TensorFlow.
The ideal candidate will have a PhD in a relevant field and a strong background in deep learning for time-series data. This part-time role offers flexibility and aims for impactful contributions to neuroscience research.
Senior ML Researcher - Spontaneous Inner Speech Detection employer: Lancaster University
Contact Detail:
Lancaster University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Researcher - Spontaneous Inner Speech Detection
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and neuroscience. Attend conferences or webinars, and don’t be shy to ask questions or share your insights. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving EEG data and deep learning. Use platforms like GitHub to share your code and demonstrate your expertise with Python, PyTorch, or TensorFlow.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of spontaneous inner speech detection and related machine learning techniques. Practice explaining complex concepts in simple terms, as you might need to communicate your ideas to non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Researcher - Spontaneous Inner Speech Detection
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t hold back on showcasing your deep learning expertise!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your PhD and any relevant projects you've worked on that relate to spontaneous inner speech detection or EEG data. We love seeing how you fit into our vision!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for neuroscience research shines through without unnecessary fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Lancaster University
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning techniques, especially those related to time-series data. Be ready to discuss your PhD research and how it relates to spontaneous inner speech detection. Familiarity with Python and frameworks like PyTorch or TensorFlow will definitely give you an edge.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that demonstrate your skills in deep learning. If you've developed any novel techniques or contributed to impactful research, make sure to highlight these experiences. Real-world examples can really impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the institution's current research in neuroscience and how they envision the role contributing to their goals. This shows your genuine interest and helps you gauge if it's the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with friends or colleagues to get comfortable discussing your work and answering technical questions. The more you practice, the more confident you'll feel during the actual interview. Plus, it helps you refine your explanations of complex concepts.
