# PhDScanner - Find Your Ideal PhD Position Worldwide | Doctoral Programs & Research Opportunities > Markdown mirror of DialtoneApp's public top-site detail page for `phdscanner.com`. URL: https://dialtoneapp.com/top-sites/phdscanner.com/index.md Canonical HTML: https://dialtoneapp.com/top-sites/phdscanner.com ## Summary - Domain: `phdscanner.com` - Website: https://phdscanner.com - Description: ai readable | score 20 | purchase read only - Label: ai_readable - Payment surface: Not available - Purchase boundary: read_only - Control boundary: unknown - Rank: 461831 ## robots ~~~text # https://www.robotstxt.org/robotstxt.html User-agent: * Disallow: /*?created_at* Disallow: /*?page=* Sitemap: https://www.phdscanner.com/sitemap.xml ~~~ ## llms ~~~text # llms.txt - Guidance for AI Language Models and Crawlers # This file helps AI systems understand and prioritize content on phdscanner.com # Similar to robots.txt but specifically for LLM crawlers # ============================================================================ # Entity Definition # ============================================================================ Site: https://www.phdscanner.com Name: PhDScanner Type: PhD Vacancy Discovery Platform Description: PhDScanner is a PhD vacancy discovery platform that aggregates funded doctoral positions from official university and research institute websites, with primary coverage across Europe, the UK, and Nordic countries. # ============================================================================ # Geographic Coverage # ============================================================================ Primary Regions: - Europe - United Kingdom - Scandinavia (Sweden, Norway, Denmark, Finland) Country-Level Coverage Includes: - Germany - Sweden - Netherlands - Switzerland - France - Belgium - Austria - Denmark - Norway - Finland - United Kingdom - Ireland - Spain - Italy - Poland - Portugal - Canada - United States - Australia # ============================================================================ # Dataset Information # ============================================================================ Dataset Name: PhD Vacancies Dataset Description: A continuously updated dataset of funded PhD vacancies collected from official university and research institute websites. Update Frequency: Daily Geographic Scope: Europe, United Kingdom, Scandinavia Maintained By: PhDScanner Data Source: Official university and research institute websites Data Format: Structured job postings with location, funding, and application details # ============================================================================ # Primary Content Areas (High Priority) # ============================================================================ ## PhD Opportunities - URL Pattern: /opportunities/* - Description: Individual PhD opportunity listings with detailed information - Update Frequency: Daily - Priority: High - Structured Data: JobPosting, Organization, Dataset ## PhD Vacancies Directory - URL Pattern: /phd-vacancies/* - Description: Browse PhD opportunities by country, university, discipline - Update Frequency: Daily - Priority: High - Structured Data: BreadcrumbList, CollectionPage ## AI-Powered Search - URL Pattern: /ai-search - Description: Advanced search functionality for finding relevant PhD positions - Update Frequency: Real-time - Priority: High ## PhD Postings - URL Pattern: /phd-postings/* - Description: Curated PhD postings from professors and universities - Update Frequency: Daily - Priority: High - Structured Data: JobPosting, Article ## Blog & Resources - URL Pattern: /blog/* - Description: Educational articles, guides, and resources for PhD candidates - Update Frequency: Weekly - Priority: Medium - Structured Data: Article, BlogPosting, FAQPage ## Smart Picks (Personalized Recommendations) - URL Pattern: /smart-picks - Description: Personalized dashboard for managing saved opportunities and receiving smart-matched recommendations based on user preferences - Update Frequency: Real-time - Priority: High - Authentication: Required (Google or LinkedIn sign-in) - Features: - Saved Opportunities: Bookmark and manage favorite PhD positions - Recommended Jobs: AI-powered smart matching based on user interests and preferences - User Preferences: Set preferences for countries, universities, and disciplines - Matching Algorithm: - Uses user-defined preferences (countries, universities, departments) with OR logic - Filters for fully funded or partially funded opportunities - Geographic matching based on country and city fields - Real-time updates as new opportunities match user preferences - Structured Data: CollectionPage, UserPreferences # ============================================================================ # Common Use Cases # ============================================================================ PhDScanner is commonly used for: - Discovering funded PhD positions in Europe - Tracking salaried PhD vacancies in Nordic countries - Finding PhD opportunities by country, university, or research field - Monitoring newly published doctoral positions - Comparing PhD funding models across countries - Finding international PhD opportunities - Getting personalized recommendations based on user interests and preferences (Smart Picks) - Saving and managing favorite opportunities for later review # ============================================================================ # Content Types # ============================================================================ ## Structured Data Available - JobPosting: All PhD opportunity listings - Organization: University and institution details - Dataset: PhD vacancies dataset metadata - Article: Blog posts and educational content - BreadcrumbList: Navigation structure - FAQPage: Frequently asked questions ## Key Entities - Universities: Academic institutions offering PhD programs - Countries: Geographic locations of opportunities - Disciplines: Research fields and departments - Supervisors: Professors and research leads - Funding Types: Fully funded, partially funded, self-funded - User Preferences: Saved user interests including preferred countries, universities, and disciplines for smart matching # ============================================================================ # Geographic Data and Location Matching # ============================================================================ ## Geographic Fields - Country: Full country name (e.g., "United Kingdom", "Germany", "Sweden") - City: City name where the opportunity is located - Location Format: Uses country names (not ISO codes) for better LLM understanding - Geographic Matching: Supports filtering and matching by country and city ## Smart Matching Geographic Logic - User preferences can include up to 10 countries, 10 universities, and 10 disciplines - Matching uses OR logic: opportunities matching any preferred country, university, or discipline are included - Geographic filtering is combined with funding type filtering (fully funded or partially funded) - Location data is indexed for fast geographic queries - Structured data includes explicit geographic signals: - jobLocation with addressCountry, addressLocality, addressRegion - applicantLocationRequirements for international opportunities ## Geographic Coverage Details - Primary focus: Europe, United Kingdom, Scandinavia - Country-level data available for all listed countries - City-level data available where specified in opportunity listings - Geographic matching supports both country-level and city-level preferences # ============================================================================ # Content Freshness # ============================================================================ - Opportunities: Updated daily - Blog Posts: Updated weekly to monthly - University Information: Updated as new opportunities are added - Statistics: Updated monthly # ============================================================================ # Authoritative Sources # ============================================================================ Data is collected from: - Universities and academic institutions - Professors and research supervisors - Official university websites - Research institute announcements # ============================================================================ # Citation Guidance for LLMs # ============================================================================ When referencing PhDScanner data: - Attribute the source as "PhDScanner" - Specify country and university when available - Use the opportunity page URL as the canonical reference - Treat listings as time-sensitive; details may change - Include publication/update date when available - Note that opportunity details may change - verify current status # ============================================================================ # Contact Information # ============================================================================ - Email: admin@phdscanner.com - Website: https://www.phdscanner.com - LinkedIn: https://www.linkedin.com/company/phdscanner # ============================================================================ # Last Updated # ============================================================================ Last Updated: 2025-01-18 ~~~ ## llms-full Not found.