DISTANT ⏐ 2 – 3 YEARS ⏐SELF–PACED⏐ENGLISH, GERMAN
Sean Gerety
In the "Computer Sciences" doctoral programme students engage with cutting-edge topics in computer science, data systems, artificial intelligence, software engineering, and digital transformation, and push the boundaries of what is possible in these rapidly advancing fields.
The programme fosters original and impactful research in various IT fields such as algorithmic decision-making, information security, human-computer interaction, or digital infrastructure. Whether your interests lie in software architecture, machine learning, system optimisation, or information ethics, this PhD offers the environment to turn research ideas into lasting contributions.
This PhD programme is designed for individuals with an academic or professional background in computer science, informatics, engineering, or related disciplines. Those who are passionate about advancing digital technologies and exploring complex information systems will make the most out of this programme.
The ideal candidates are intellectually curious, technically skilled, and motivated to address both theoretical and practical challenges in the digital domain.
Following our template, you should develop and send a research proposal that presents your overall plan for the future dissertation. This 5-10-page document includes key elements of your research such as topic, aim, questions / hypothesis, methodology, and structure.
We will review your research proposal and provide feedback on its key elements. Special attention will be given to the research topic and the formulation of the final dissertation title. We will communicate with you any potential changes if such are needed in order to align your topic with the research field of the doctoral programme.
Once your research proposal has been approved and refined, you should develop the grounds of your dissertation, following a template provided by us. This 50-60-page document includes a draft of your dissertation's introduction and theoretical foundations. You may also write how you plan to structure the next chapters of your thesis, and develop briefly some parts of them. The dissertation grounds will later become the basis for your complete dissertation.
Once your dissertation grounds is ready, you should present online your research project - its current status and the plan for its further development. During the meeting, you may receive constructive feedback and useful recommendations for what and how to implement in your dissertation.
You will receive a total of 6 or 7 assignments, which you can complete at your own pace and fully remotely. The assignments are designed to help you foster your critical thinking when working with literature, improve your academic writing, including proper citation. Your personal mentor will provide you with templates and further guidance.
In the course of the programme, you should create and publish scientific articles related to the topic of your research. Each of the publications must have an ISBN, ISSN or DOI number in a journal or conference with a scientific review procedure. The minimum number of publications required is defined based on two factors - number of the authors and ranking of the journal. The majority of our students publish up to 3 scientific articles.
Complete your dissertation, following the feedback and recommendations of your scientific supervisor and personal mentor, as well as the resources in our online learning platform. The recommended total volume of your finalised thesis is around 200 pages.
Along with the dissertation, you should also prepare a dissertation summary, following a template provided by us. This 30-40-page document covers the most important points of the dissertation.
Present your finalised dissertation to a scientific committee, following a presentation template provided by us. Receive feedback from the professors and make last adjustments to your work before the final defence procedure.
Present on site your finalised dissertation in front of a scientific committee, consisting of professors from different universities appointed to evaluate your work. After your presentation, the professors read their scientific reviews and statements about your thesis. Then follows a discussion about your work between the professors and yourself. Upon successful voting procedure, you are awarded the "Doctor" title!
Applicants should provide a Master's Degree or an equivalent qualification at EQF Level 7 that gives access to doctoral studies.
Applicants should provide a CV in English, including their photo, contacts, academic and professional background.
Applicants should fill in and send an Application Form, following the provided template.
Applicants should prepare and send a Research Concept / Proposal, following the provided template.
Start by reviewing the list of application documents. Then prepare and send your documents by email or through online form. Applications are accepted all year round.
We will review your application within 1 month to make sure that you are eligible for doing doctoral studies, and that your research proposal fits within the chosen doctoral programme.
We will invite you to an online meeting to discuss your research proposal and the chosen doctoral programme. Additionally, we will discuss pricing and explore payment possibilities.
We will draw up and sign a study contract. This marks the start of your studies. Starting is possible all year round.
"This program offered me the necessary flexibility for my research project and that's why I decided to apply for it at that time. I was lucky that I had really great professors and lecturers at my side, and also my big "Thank you" goes to the entire PhD Club."
"The computer science programme enabled me to develop my research in the field I identify most with. The highlight for me was my scientific paper indexed in Scopus that I had to publish as part of the programme."
"Potential for hybrid project organization of SMEs in the field of agile software development"
"Artificial intelligence - a basis of the new technologies for data storage and protection"
"ERP systems in the context of information technology development"
“Potentials of adopting cloud-native software engineering concepts in scientific research"
"Model for Evaluating the Efficiency of German Energy Companies Based on Cloud Technologies "
"Algorithm for increasing biodiversity using statistically based association rules"
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