At a Glance
- Tasks: Research and build innovative models for speech technologies like TTS and ASR.
- Company: Join a cutting-edge speech research team working remotely in the UK.
- Benefits: Flexible hours, opportunity to publish research, and collaboration with experts.
- Other info: Perfect for curious minds eager to tackle open-ended research challenges.
- Why this job: Dive into advanced speech tech and contribute to groundbreaking research.
- Qualifications: PhD or MSc in ML, Signal Processing, or CS; experience with PyTorch required.
The predicted salary is between 63000 - 77000 £ per year.
Type: 3–6 Month Contract (Full-Time or Part-Time: 20 hrs/wk for Ph D students)
Role Overview Join an advanced speech research team conducting exploratory, hypothesis-driven research in text-to-speech (TTS), automatic speech recognition (ASR), and generative audio models.
Open to current Ph D candidates (flexible ~20 hrs/week) or recent Ph D/MSc graduates (full-time).
What You'll Do
- Research and build models for TTS, ASR, voice conversion, and audio generation.
- Experiment with modern generative architectures: Transformers, Diffusion, Flow Matching, GANs, VAEs, and Neural Audio Codecs.
- Clean, analyze, and evaluate real-world audio datasets at scale.
- Collaborate with research scientists with opportunities to publish at top-tier ML venues.
Requirements
- Education: Currently enrolled in or recent graduate (within 1 yr) of a Ph D or MSc in ML, Signal Processing, or CS.
- Core Stack: Hands-on experience with Py Torch and handling complex data pipelines.
- ML Depth: Strong theoretical grasp of generative modeling (Diffusion, Flow Matching, Codecs).
- Skills: Independent, curious, and comfortable with open-ended research problems.
- Interview Process
- Technical Interview (60 min): ML depth and research breadth discussion (no live coding).
Values Interview (30 min): Collaboration, communication, and team alignment.
Research Intern in Hemel Hempstead employer: Randstad Digital UK
As a Research Intern with our advanced speech research team, you'll be part of a dynamic and innovative environment that fosters collaboration and creativity. We offer flexible working hours tailored for PhD candidates, along with opportunities to engage in cutting-edge research and publish your findings at prestigious ML venues. Our remote UK location ensures you can work from anywhere while being part of a supportive community dedicated to your professional growth.
