PhD on contextualizing generative AI systems in structured data (m/f/x)

Ph.D Position

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General Information

University of Amsterdam
AI/ML
English

Position Details

Ph.D
48 month
33372 EUR
0
Jul 21, 2024 24 Months ago
Sep 01, 2024 23 Months ago

About the Position

📢 I’m hiring a PhD researcher! 🚀 

Interested in representation learning and generative models for structured data (e.g. tables in spreadsheets and databases) to accurately, reliably, and efficiently, democratize insights from data? Come do a fully-funded 4-year PhD w me at Centrum Wiskunde & Informatica in beautiful Amsterdam!

⏰ Application deadline: 21 July 2024

🗓 Start date: fall 2024 (preferably September)

🔗 Apply and more info at: https://lnkd.in/gJyyjGmd

Interested but not ready to start in Fall ‘24? No problem, in total I’ll be hiring 4-5 PhDs across 2024-2026! Receive updates by leaving your email at: https://lnkd.in/gyjzBjUz.

Sharing with friends, and reposting/liking is much appreciated! 🙏

Research Interests

  • neural models
  • structured data

About the Professor

Bio

I'm a postdoctoral fellow at UC Berkeley, and incoming faculty at CWI Amsterdam. Prior to joining UCB, I did my PhD at the University of Amsterdam with research at Sigma Computing and the MIT Media Lab. In my opinion, tables are a promising modality for representation and generative learning with too much application potential to ignore. Therefore, I research Table Representation Learning (check out this index of recent research on TRL) and applications in data management and analysis. Broadly, my objective is to make insight retrieval from structured data a walk in the park for everyone. Some of my research in this area can be found below. To stimulate research on TRL, I founded the Table Representation Learning workshop (@NeurIPS). Within the wider research community, I co-organize the Data Management for E2E ML workshop at SIGMOD and the Table-to-KG matching (SemTab) challenge. I review for various tracks/workshops at e.g. VLDB, SIGMOD, NeurIPS, ICLR, WWW. Before starting in academia, I was a data scientist for 2+ years, working on automating ML-driven analyses.

Professor's Interests
Table Representation Learning Data Management Data Analysis Machine Learning

Exam Requirements

Requirements for University of Amsterdam

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:92
GMAT
Total Score
Required:560
Overall
Required:560
Prerequisites
Academic Bachelor's degree in a relevant field Mathematics and Statistics proficiency Micro- and Macro-economics courses
Application Checklist
  • Bachelor's Diploma and Transcripts
  • Curriculum Vitae
  • Motivation Letter
  • English Language Proficiency Certificate
  • GMAT or GRE score report
Specialization Notes

Includes departments like Economics, Business Administration, Finance, and Marketing.

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:24
Writing
Required:24
Speaking
Required:25
Total
Required:100
Prerequisites
Academic Bachelor's degree from a research university Specific background in Humanities or Social Sciences relevant to the field
Application Checklist
  • Transcripts of records
  • Diploma (or proof of graduation)
  • CV
  • Motivation letter
  • Program-specific document (if required)
Specialization Notes

Applies to departments such as Philosophy, History, Media Studies, and Art History.

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:24
Writing
Required:24
Speaking
Required:25
Total
Required:100
Prerequisites
Bachelor of Laws (LLB) or equivalent legal education Proof of specific law courses if applying from a non-legal background
Application Checklist
  • CV in English
  • University transcripts
  • University diploma
  • Proof of English proficiency
  • Motivation letter
Specialization Notes

Specific for programs in Law, International Law, and Private Law.

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:24
Writing
Required:24
Speaking
Required:25
Total
Required:100
Prerequisites
Bachelor's degree in Psychology, Sociology, or related discipline At least 12 ECTS in Research Methods and Statistics
Application Checklist
  • Certified copies of diploma and transcripts
  • English proficiency proof
  • Motivation letter
  • Description of relevant course work
Specialization Notes

Applicable to Psychology, Social Sciences, and Communication Science.

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:92
GRE General
Verbal
Required:155
Quantitative
Required:155
Analytical Writing
Required:3.5
Overall
Required:3.5
Prerequisites
Research-oriented Bachelor's degree Relevant credits in the specific scientific field (e.g. Physics, Chemistry, Biology)
Application Checklist
  • CV
  • Transcripts
  • Motivation letter
  • English test result
  • GRE score (for non-EU/EEA degrees)
Specialization Notes

Covers Mathematics, Physics, Chemistry, and Artificial Intelligence.