Research Intern

4 weeks ago


Remote, India Spearmint technologies Full time

**About Us**: At Spearmint, we are at the forefront of blockchain and AI research, committed to driving innovation and delivering cutting-edge solutions. Our team is dedicated to fostering an environment where creativity and academic rigor converge to produce impactful results.

**Internship Description**: We are seeking highly motivated Research Interns to join our dynamic team. This internship is designed for M.Tech graduates and Ph.D. pursuing students who are eager to engage in advanced research projects related to blockchain technology and artificial intelligence.

**Key Responsibilities**:

- Assist in conducting literature reviews and analyzing existing research in blockchain and AI.
- Collaborate with our research team on innovative projects, contributing to the development of new methodologies and technologies.
- Support data collection, analysis, and interpretation for ongoing research studies.
- Present research findings in a clear and concise manner to team members and stakeholders.
- Contribute to the preparation of research papers for publication in academic journals and conferences.

**Qualifications**:

- M.Tech completed or currently pursuing a Ph.D. in Computer Science, Information Technology, Data Science, or a related field.
- Strong understanding of blockchain technology and AI concepts.
- Excellent analytical and problem-solving skills.
- Proficiency in programming languages such as Python, Java, or relevant tools for data analysis.
- Strong written and verbal communication skills.

**What We Offer**:

- An opportunity to work on cutting-edge research projects in a collaborative environment.
- Mentorship from experienced professionals in the field.
- Networking opportunities with industry experts and academics.
- Potential for future employment based on performance.

**Job Types**: Full-time, Fresher, Internship
Contract length: 3 months

Pay: ₹2,000.00 - ₹3,000.00 per month

**Benefits**:

- Work from home

Schedule:

- Day shift
- Morning shift

**Experience**:

- total work: 1 year (preferred)

Work Location: Remote


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