Identify if resume is for research
using AI
Below is a free classifier to identify if resume is for research. Just input your text, and our AI will predict if the resume is suitable for a research position - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-resume-is-for-research", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-resume-is-for-research/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/if-resume-is-for-research/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the resume is suitable for a research position.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Not Research and Research Focused.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the resume is suitable for a research position).
Whether you're just curious or building if resume is for research detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if resume is for research at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Academic Recruitment Screening: This use case involves using the text classification function to filter resumes during the recruitment process for academic positions. It helps hiring committees quickly identify candidates whose resumes reflect a strong focus on research, thus streamlining the selection process.
- Grant Application Review: Research funding organizations can leverage this function to classify resumes of grant applicants. By identifying research-oriented candidates, committees can prioritize individuals with a proven track record in research over those with general experience.
- Researcher Collaboration Matching: In collaborative research environments, institutions or research groups can utilize this tool to match potential collaborators based on their resume contents. This ensures that only those with relevant research experience are considered, enhancing the quality of partnerships.
- University Program Evaluation: Educational institutions can employ this function to assess the quality of candidates applying for their research programs. By identifying research-focused resumes, the institution can evaluate the strength of their applicant pool and make informed decisions on program offerings.
- Job Market Analysis: Recruitment agencies can use the classification function to analyze trends in candidates' research experience across various sectors. This data can inform the agency about the skills in demand and help clients refine their job descriptions to attract qualified candidates.
- Internal Talent Development: Companies focused on innovation and research can use this tool to identify internal talent with research skills for potential promotions or training opportunities. This can help organizations enhance their research capabilities by recognizing and nurturing existing talent.
- Resume Database Management: Job portals can implement this text classification function to organize their resume databases effectively. By tagging and categorizing resumes as research-oriented, they can provide more refined search results for employers looking for candidates with specific research experience.