Postdoctoral Fellow in Computer Science – Digital Health System Position Available In Grafton, New Hampshire
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Job Description
Postdoctoral Fellow in Computer Science – Digital Health System
Dartmouth College
in Hanover, NH
Apply Now Type:
Full-Time
Posted:
04/04/2025
Category:
Computer Science Position Title:
Postdoctoral Fellow in Computer Science –
Digital Health System Department:
Computer Science Position Type:
Other Qualifications:
Required qualifications: Ph.D. in Computer Science, Computer Engineering, or closely related field
Strong programming skills in relevant languages (Python, Java, etc.)
Experience with mobile sensing and data collection systems
Knowledge of machine learning and data processing techniques
Publication record in relevant technical fields
Strong analytical and problem-solving abilities
Excellent written and verbal communication skills
Demonstrated ability to work independently and in teams
Experience with research project management Additional priorities: Experience with digital health applications
Knowledge of HIPAA compliance and privacy regulations
Background in real-time systems and data processing
Familiarity with cloud computing platforms
Experience with large-scale system deployment
Knowledge of battery optimization techniques
Publication record in top-tier venues
Experience with research grant writing
Background in mental health technologies
Experience mentoring students
Application Instructions:
Please submit the following electronically via
Interfolio:
Cover Letter;
CV, including names and contact information for three references;
Research statement, including past experiences and future goals. Review of applications will begin May 1, 2025, and will continue until the position is filled. Recommendation letters will be requested only for finalists. For questions about the position, please contact Professor Andrew Campbell (Andrew.
T.Campbell@dartmouth.edu)
Description:
The Center for Technology and Behavioral Health (CTBH) at Dartmouth College invites applications for a postdoctoral fellow to lead technical research and development efforts for an innovative AI-driven mental health platform at Dartmouth College. The project combines advanced artificial intelligence with passive behavioral sensing. This position will conduct cutting-edge research at the intersection of mobile sensing, real-time data processing, and artificial intelligence while contributing to the development of novel digital health interventions. The role offers an opportunity to advance the field of technology-enabled mental health care through innovative research in passive sensing integration, system optimization, and scalable technology development. This position is full-time, non-remote, in-residence at Dartmouth in Hanover, NH, with start date as early as July 1, 2025. Initial appointment is typically for one year, with possibility of renewal. The postdoctoral researcher will be primarily advised and hosted in the Department of Computer Science. They are also supported by the Guarini School for Graduate and Advanced Studies, including their community initiatives. Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. People with different backgrounds, life experiences, and perspectives make the Dartmouth community diverse, which enhances academic excellence. In addition, we value applicants who have a demonstrated ability to contribute to Dartmouth’s diversity initiatives in STEM research, such as the WISP, the EE Just Program, and the Academic Summer Undergraduate Research Experience. Applicants should address in their cover letter how their research, teaching, service, and/or life experiences prepare them to advance Dartmouth’s commitment to diversity in service of academic excellence.
Key Accountabilities:
Technical Research and Development (40%) Lead research initiatives in passive sensing data collection and processing
Develop novel algorithms for real-time processing of mobile sensor data
Design and implement secure data pipelines for behavioral sensing
Conduct research on system optimization and scalability
Create innovative solutions for battery-efficient continuous sensing
Develop new methods for integrating multimodal sensor data
Publish research findings in top-tier computer science conferences and journals
Present research at academic conferences and professional meetings
Contribute to grant proposals and research funding applications System Integration and Architecture (30%) Oversee technical integration of passive sensing components
Design system architecture for real-time data processing
Collaborate with mobile and backend developers on implementation
Develop protocols for secure data transmission and storage
Create specifications for system components and interfaces
Implement quality assurance processes for data collection
Optimize system performance and reliability
Document technical specifications and system architecture
Ensure compliance with security and privacy requirements Research Collaboration and Leadership (20%) Mentor graduate students and research assistants
Collaborate with interdisciplinary research team members
Coordinate with clinical researchers on intervention development
Participate in research team meetings and planning sessions
Contribute to research protocol development
Support grant writing and publication efforts
Present research findings to stakeholders
Assist in supervising technical aspects of research studies Innovation and Knowledge Translation (10%) Identify opportunities for technical innovation
Develop proof-of-concept implementations
Create technical documentation and research protocols
Contribute to intellectual property development
Support technology transfer initiatives
Assist in preparing research findings for publication
Participate in academic-industry partnerships
Share technical expertise with research team
EEO Statement:
Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of sex, race, color, religion, age, disability, status as a veteran, national or ethnic origin, sexual orientation, gender identity, gender expression, or any other category protected by applicable law, in the administration of its educational policies, admission policies, scholarship and loan programs, employment, or other school administered programs. Applications by members of all underrepresented groups are encouraged. Dartmouth is committed to accessibility for its community. If you are an applicant with a disability and need accommodations to assist in the job application or interview process, please email Equal.
Opportunity.
Accessibility.and.
Title.
IX@dartmouth.edu. In the subject line, please write “Application accommodations” and the Interfolio job number or title. Someone from the Office of Equal Opportunity, Accessibility, and Title IX will contact you within 2 business days. For additional employment opportunities at Dartmouth College, please visit the Dartmouth Interfolio Job Board, the Office of the Provost, and the Office of Human Resources. Offers of employment are contingent upon consent to a pre-employment background check with results acceptable under Dartmouth policy. Please visit the Office of Human Resources for details. All Dartmouth College employees must comply with the College’s health and safety guidelines and protocols, including but not limited to those related to COVID-19, such as any testing, masking, or distancing requirements that may be in place at any given time or place. Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.
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