Multimodal Computational Neuroscience In

San Francisco, California, United States          ·          Full time

Job Description

Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!

The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

We are seeking exceptional interns to join our team and work on cutting-edge research at the intersection of sensory perception and computational neuroscience, where you will have the opportunity to analyze and interpret complex signals from multimodal sources including audio, video, and experimental data. As an intern, you will work closely with our team of engineers, researchers, and scientists to develop multimodal deployment models that leverage AI, human perception research, and subjective data from physiological and psychophysical experiments. 

Responsibilities 

• Work collaboratively with our team to design and implement experiments and studies in the fields of multimodal AI and computational neuroscience. 
• Collect and analyze multimodal data using state-of-the-art tools and techniques. 
• Develop and implement novel algorithms and techniques for signal processing and analysis. 
• Incorporate subjective data from human perception experiments into machine learning models to improve their scope, accuracy, and performance. 
• Participate in regular team meetings and present your findings to teams across Dolby. 
• Contribute to the development of research papers, patents, and presentations. 

Requirements 

• Currently pursuing a Master or PhD degree in computer science, electrical engineering, cognitive science, neuroscience, biomedical engineering, or a related field. 
• Strong programming skills in Python, Matlab, or similar languages. 
• Familiarity with machine learning techniques and algorithms. 
• An understanding of contemporary scientific research and experimental design, hypothesis testing, and collection of perceptual data.  
• Analytical skills and the ability to manipulate, visualize, and extract meaning from diverse data sets. 
• Excellent communication and teamwork skills. 
• Ability to work independently and take initiative. 

Benefits 

• Gain hands-on experience in cutting-edge research in multimodal perception and computational neuroscience. 
• Work alongside fellow doctoral and advanced degree candidates and with experienced engineers, researcher and scientists specializing in AI, acoustics, vision science, neuroscience, and human perception. 
• Develop skills in data collection, analysis, and interpretation. 

If you are passionate about multimodal perception and computational neuroscience and are looking for an exciting opportunity to gain hands-on experience in the field, we encourage you to apply for this internship. We welcome applicants from diverse backgrounds and are committed to creating an inclusive and supportive work environment. 

We recognize that applying to internships can be a daunting process, especially if you have not had any previous internships, or if this is a new field of interest to you. Even if you do not have previous professional experience to meet the listed qualifications, we will consider relevant project, volunteer, and extracurricular experiences, and we encourage you to include them on your resume and apply. 

Eligibility 

Working towards a master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field; recent grads within six months of graduation are also eligible to apply. Must be available to work full-time, Monday to Friday, for three or six months starting from September 2023. 
 

Start date for the internship is as follows (Note that this start date is not flexible): 

• Monday, September 25, 2023 

The San Francisco/Bay Area base hourly range for this internship position is $45-$50/hr based on education level and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:

Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

Please click here to apply.

Tagged as: Computational Neuroscience, Neuroscience