Research Fellow, Computer Science
3 months ago
Key Responsibilities:
- Lead and manage a research project.
- Establish a data acquisition pipeline with external collaborators.
- Develop predictive AI and machine learning models for mental health applications using data extracted from wearables.
- Analyzing and interpret data acquired and draft insightful reports and presentations summarizing research findings, methodology, and potential implications.
- Publish research findings in top-tier journals and conferences.
- Manage project timelines, budget, and resources effectively to ensure deliverables are met.
- Foster a collaborative research environment and provide guidance and support to team members.
- Develop presentations and reports tailored for diverse audiences, including academic and non-academic stakeholders.
- Contribute to the development of grant proposals to secure funding for future research projects.
Qualification:
- A minimum of a Ph.D. or equivalent qualification in computer science, statistics, mathematics, engineering, or a closely related field.
Knowledge and Experience:
- Experience in developing predictive machine learning models
- Experience using database interrogation and analysis tools.
- Strong understanding of data analytics theory, enabling the transformation of raw data into meaningful insights that address research questions.
- Demonstrated research experience with a relevant publication record.
Competencies and Skills:
- Excellent planning, time management, and organizational skills.
- Advanced coding and data processing skills to efficiently execute research ideas.
- Strong proficiency in programming languages.
- Active listening skills to effectively understand project requirements.
- Initiative and resilience to explore new approaches if initial plans require adjustment.
- Ability to work independently with minimal supervision and strong self-motivation are essential.
- Exceptional communication and presentation skills to present complex information to audiences unfamiliar with data analysis methods.
- Ability to thrive under pressure and meet tight deadlines.
- Meticulous attention to detail.
- Collaborative spirit and strong teamwork skills to share ideas and find solutions effectively.
Hiring Institution: LKC
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