About this role
The intern will develop and evaluate predictive models using audio data for healthcare applications. Key tasks include performing exploratory data analysis, preprocessing audio datasets, and optimizing model architectures for signal classification.
Candidates should be Year 2 or 3 undergraduates in Computer Science, Data Science, or related fields with proficiency in Python and deep learning frameworks like PyTorch. Experience with audio signal data and cloud platforms like AWS is preferred.
What they're looking for
PythonAudio Signal ProcessingDeep LearningPyTorchAWSStatistical AnalysisGitGitHub
Frequently asked questions
What does a Uni Internship Jan to July 2027 - Model development for audio signal classification at Synapxe do?
The intern will develop and evaluate predictive models using audio data for healthcare applications. Key tasks include performing exploratory data analysis, preprocessing audio datasets, and optimizing model architectures for signal classification. Candidates should be Year 2 or 3 undergraduates in …
What skills does this Uni Internship Jan to July 2027 - Model development for audio signal classification role need?
Key skills for this role include Python, Audio Signal Processing, Deep Learning, PyTorch, AWS, Statistical Analysis.
How much does a Uni Internship Jan to July 2027 - Model development for audio signal classification at Synapxe pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Uni Internship Jan to July 2027 - Model development for audio signal classification role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Uni Internship Jan to July 2027 - Model development for audio signal classification role?
You can apply directly on Synapxe's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.