What does an availability signal mean?

Scholr looks for public signals (a lab page, recent posts, graduate admissions listings) that suggest a supervisor may be open to new PhD or Masters students for an upcoming intake. It surfaces the evidence so you can judge.

Can I use Scholr for Masters and Postdoc positions, not just PhD?

Yes. Scholr supports PhD, Masters, and Postdoc applications. The workflow, supervisor matching, and outreach generation all work across all three degree types.

How does Scholr write the outreach emails?

When you generate an outreach email, Scholr searches for the supervisor's recent publications, extracts their core research themes, and combines that with your research background from your profile. The result is a personalized, specific email, not a template.

Is Scholr free to use?

Yes. Every account starts with credits to try the product. Application tracking is free, and purchased credits never expire. Current credit packs and action costs are shown on the pricing page.

Does Scholr work across fields and universities?

Scholr works best where public faculty, funding, and admissions info is available online. It searches across fields (STEM, social sciences, medicine, humanities, and beyond) and surfaces what it can find, with the sources behind each claim.

Stop letting grad applications
eat your nights and weekends.

Scholr helps you research supervisors, draft outreach from their actual papers, and track every deadline. All in one place, with sources behind every claim.

Start for free

Search by school, department, and research area.

Tell Scholr the university, department, and research area you're targeting. It finds the supervisors who fit and pulls the evidence behind each one.

Find supervisors

Search one school and department at a time.

UniversityMIT

DepartmentComputer Science

Research areaprivacy-preserving ML

1 supervisor to review

Checked 4 sources

Prof. Sarah Chen

MIT · Computer Science

Strong fit

Privacy ML, recent papers, funding signal

Recent grant signalsRecruitment note foundFederated LearningPrivacy ML

Outreach draftUses 2 recent papers

Toprof.chen@mit.eduSubjectPhD inquiry: privacy-preserving ML

Dear Prof. Chen,

I read your NeurIPS 2024 paper on cross-silo differential privacy and found the non-IID section directly relevant to my project across hospital datasets.

I am preparing PhD applications in privacy-preserving ML and would value your guidance on whether this direction fits your group.

Drafted from the match evidence. Review, edit, then send in your voice.

The supervisor search bottleneck

The research takes longer than almost any other part of the application.

Every applicant ends up checking the same faculty pages, lab sites, papers, funding records, and spreadsheets by hand. Manageable for five programs. At twenty-five, the process starts working against you.

Every supervisor starts from zero

You have to rebuild the context each time. What they work on now, whether it matches your interests, and whether there is enough evidence to reach out.

Funding and availability are hard to judge

Most pages do not clearly say whether a supervisor has recent funding or is taking students. Applicants are left reading between the lines before they reach out.

Personal outreach takes too long at scale

A good email should mention the supervisor's actual work and why your background fits. Doing that for twenty or thirty supervisors is where applicants run out of energy.

What Scholr does

Thirty open tabs become one list you can trust.

Scholr does the digging across pages, papers, and funding records. You open an organized supervisor list with the evidence attached, then decide who is worth contacting.

Start with a real application target

University + department + topic

Choose the university, department, and research area. Scholr looks for supervisors in that context, so the list begins where your application actually begins.

Read the receipts before you spend time

Sources attached

Research fit, recent papers, funding clues, and availability signals appear with source links and last-checked dates, so you can verify before you write.

Move from match to specific outreach

Draft, edit, track

The draft pulls from the supervisor's actual papers and your background. Refine it, send it, and follow up without switching tools.

FAQ

The questions we hear most.

How supervisor search, signals, and outreach work in Scholr. If something here doesn’t cover what you need, get in touch.

When you search for supervisors, Scholr scans university lab pages, grant databases (NSF, NIH, EPSRC, etc.), and public funding records. When it finds evidence of a recent grant tied to their lab, it shows a funding signal with the sources behind it.

Pricing

Credits for supervisor searches.

New accounts receive 30 credits. Buy more only when you need them. Application tracking stays free.

Start free

30 credits

Use them when you are ready to research supervisors. See the current packs and action costs before you buy more.

See current credit packs

Credit purchases are one-time and do not expire.

Open one search.
Know who is worth your time.

Pick a university, department, and research area. Scholr gathers the supervisor list, recent papers, and source-backed signals so you can spend your energy on the people who fit.

Start a supervisor search Already have an account? Log in

Stop letting grad applications
eat your nights and weekends.

Search by school, department, and research area.

See why a supervisor is worth contacting.

Draft outreach from their real research.

Keep every supervisor and deadline in one place.

Prof. Sarah Chen

The research takes longer than almost any other part of the application.

Every supervisor starts from zero

Funding and availability are hard to judge

Personal outreach takes too long at scale

Thirty open tabs become one list you can trust.

Start with a real application target

Read the receipts before you spend time

Move from match to specific outreach

The questions we hear most.

Credits for supervisor searches.

Open one search.
Know who is worth your time.

Stop letting grad applications eat your nights and weekends.

Search by school, department, and research area.

The research takes longer than almost any other part of the application.

Every supervisor starts from zero

Funding and availability are hard to judge

Personal outreach takes too long at scale

Thirty open tabs become one list you can trust.

Start with a real application target

Read the receipts before you spend time

Move from match to specific outreach

The questions we hear most.

Credits for supervisor searches.

Open one search.Know who is worth your time.

Stop letting grad applications
eat your nights and weekends.

Open one search.
Know who is worth your time.