PhD @ KInIT expression of interest form

Thank you for your interest in PhD study at KInIT. To learn more about the PhD program, please fill in this form and we will get back to you to provide all necessary information and discuss possible cooperation.

PERSONAL INFORMATION

Name *

Surname *

Age

Country of residence *

City of residence *

Email *

Phone number

EDUCATION

Highest Degree Obtained *
If you are still a student, enter the highest degree you will have obtained by August 2024. Example: MSc, Mgr, Ing, BSc, Bc,...

Name of University *
Enter the name of the university you have or will have graduated from.

Year of Graduation *
If you are still a student, enter the expected year of graduation.

Field of Study *
(example: Computer Science, Mathematics, Statistics, Artificial Intelligence)

My standing among my classmates/graduating class *
Please provide self evaluation if you do not have specific information about your standing.
Top student, i.e. the best student in cohortTop 1% studentTop 5% studentTop 10% studentTop 15% studentOther
My level of English *
Please rank the level of your English (following the Common European Framework of Reference for Languages, CEFR)
A1 BeginnerA2 Pre-intermediateB1 IntermediateB2 Upper-intermediateC1 AdvancedC2 Mastery
Diploma Thesis
Please mention your thesis title, supervisor´s name and a few sentences about the topic of your thesis (it does not have to be related to the PhD topics you are interested in).

Motivation for joining KInIT

We are eager to get to know you. Please share as much information about yourself and your interests as possible.

Why do you want to pursue a PhD? *
Explain why you want to pursue a PhD degree. This is a generic question not related to the particularities of the PhD program at KInIT.

What attracted you to apply to the PhD program @ KInIT? *

Which research topic or topics would you wish to pursue? *
Details of the dissertation topics can be found here. Your choices are not a biding, it has only informative character. You can be interested in several topics or just some.

TOP 1
—Please choose an option—Recommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning
TOP 2
—Please choose an option—NARecommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning
TOP 3
—Please choose an option—NARecommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning
TOP 4
—Please choose an option—NARecommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning
TOP 5
—Please choose an option—NARecommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning
TOP 6
—Please choose an option—NARecommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning
TOP 7
—Please choose an option—NARecommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning
TOP 8
—Please choose an option—NARecommender and Adaptive Web-Based SystemsHuman-AI Collaboration in Dataset CreationScientific Machine LearningImproving Performance of Large Language Models for Downstream TasksMeasuring Output Quality of Large Language ModelsImproving Natural Language ProcessingAddressing Limitations of Large Language ModelsAdvanced Topics in Machine Learning

Do you have a preference for a particular PhD advisor?
You can name one or more potential KInIT advisors (internal researchers and external mentors), and explain your preferences, if you have any.

Comments to your research interests
Please, let us know any of your thoughts related to your research interests.

Do you have any prior experience in research?
If you have coauthored any paper or papers, mention it. If you have conducted any research, even if this did not lead to a paper, mention this (your activities, projects etc.).

Where did you hear about our PhD study program? e.g. friend, growni.sk etc.

Documents*
Please upload any relevant documents (as one zip file or pdf, if you upload just one file), e.g. CV, transcript of records (i.e. a list of the course units taken, the exams you have passed and the credits gained).

By hitting “Submit”, you consent that we process your personal data for the purpose of an application review and applicant selection, based on the legal basis of GPDR Art. 6 (1) letter (a) consent to the processing of personal data. You can withdraw your consent at any time. For more information please read our Privacy Policy.
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