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Dolby Laboratories

PhD Research Intern

Dolby Laboratories

. Analyze technical artifacts in generative audio .

Posted 10/22/2026internshipNuremberg • GermanyEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and audio signal processing, with strong programming skills in Python and experience in deep learning frameworks like PyTorch. Capable of conducting independent research and collaborating effectively in a team environment.

Highest-signal resume keywords
PhD In Machine LearningDeep Learning ExperiencePython Programming SkillsPyTorch Framework ExperiencePerceptual Audio Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningAudio Signal ProcessingGenerative Audio AnalysisTransfer LearningReference-Free Quality MetricsExperimental DesignData Analysis
Soft Skills
Analytical SkillsCommunication SkillsCollaboration SkillsIndependent Work
Industry Keywords
Generative SystemsNeural Audio CodecsQuality AssessmentResearch Prototype Development

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • Analyze technical artifacts in generative audio
  • Assess the suitability of available subjective quality data
  • Establish baselines using existing reference-free quality metrics
  • Adapt an existing perceptual audio-quality model using transfer learning
  • Evaluate generalization to previously unseen generative systems
  • Develop a research prototype and present the findings
  • Investigate reference-free machine-learning methods for predicting the technical quality of generative audio
  • Explore transfer of knowledge from conventional and neural audio codecs to generative content

Requirements

What you’ll need
  • Currently pursuing a PhD in machine learning, computer science, electrical engineering, audio signal processing, or a related field
  • Experience with deep learning and machine-learning experimentation
  • Strong programming skills in Python
  • Experience with PyTorch or a similar deep-learning framework
  • Strong analytical, experimental, and communication skills
  • Ability to work independently and collaborate effectively in a research environment
  • Experience in perceptual audio quality assessment or generative audio would be an advantage

Benefits

Comp & perks
  • Excellent compensation and benefits
  • Flex Work approach supporting where, when, and how you do your best work
  • Collegial culture
  • Challenging projects
  • Resources to make a real difference and earn recognition for your work