PhD Stipend in Cloud Systems for Sensitive Data Storage, Analysis, and Visualization (8-22048)

PhD Stipend in Cloud Systems for Sensitive Data Storage, Analysis, and Visualization (8-22048)

At the Technical Faculty of IT and Design, Department of Electronic Systems, a PhD stipend in Cloud Systems for Sensitive Data Storage, Analysis, and Visualization is available within the general study programme Electrical and Electronic Engineering. The stipend is open for appointment from July 15, 2022, or soon as possible thereafter. In electronics engineering, Aalborg University is known worldwide for its high academic quality and the societal relevance of its research programmes. The Department of Electronic Systems consists of more than 200 employees, of which about 40 % are international and about 90 are enrolled PhD students. The Department hosts 620 students. The Department's excellent research infrastructures and facilities accentuate its global position in teaching and research. The Department's research centres around communication, antennas, control systems, AI, sound, cybersecurity and robotics. The Department plays an active role in translating discoveries and results into practical applications with industrial partners and IPR. The Department provides teaching for several BSc and MSc programmes using a problem- and project-based learning model.

Job description

In connection with the EU Horizon project I3LUNG: Integrative science, Intelligent data platform for Individualized LUNG cancer care with Immunotherapy, we seek a PhD student that will oversee the specifications, design, and development of a cloud platform to handle the storage and processing of sensitive clinical data.

The aim of the I3LUNG project is to develop AI-based tools to assist in improving survival and quality of life, preventing undue toxicity, and reducing treatment costs for lung cancer patients. I3LUNG adopts a two-pronged approach: setting up a transnational platform of available data from hundreds of patients in order to validate the AI models, and generating a multi-omics prospective data collection in a subset of these Non-Small Cell Lung Cancer (NSCLC) patients. A psychological study will help in defining the impact of AI-guided decisions on patients, eliciting their preference, and physicians comparing AI with Human Intuition. The final goal is the construction of a novel integrated AI-assisted Data Storage and Elaboration Platform backed up by Trustworthy Explainable AI methodology, ensuring its accessibility and ease of use by healthcare providers and patients alike.

The candidate will contribute with novel anonymization techniques, standardization of open science data, and development of machine learning algorithms for data processing, among other topics. The aim will be publishing several research papers at top-tier data mining, data management, or machine learning conferences based on the research works. Within the area, the position comes with many freedoms in terms of the specific research direction, methodology, and approaches taking the specific project needs into consideration.

Requirements:

The candidate is required to have a master’s degree in computer science, computer engineering, software, data science, artificial intelligence, or a closely related field. Due to the project’s interdisciplinary nature, the candidate is required to have a strong background in algorithm design, machine learning, and software design and development. Outstanding spoken and written communication skills in English are essential.

Application:

The application must contain:

A cover letter of max. 1 page, including (i) motivation for applying, (ii) preferred starting date (specifically if other than July 15, 2022), and (iii) a brief explanation of the applicant’s background.

A research statement (project description). This description should outline the applicant’s thoughts and ideas on possible research directions within the context of the topic outlined above.

CV

Diploma and transcripts of records

Two reference letters or contact of two references

Other relevant information

You may obtain further information from Assoc. Prof. Sokol Kosta, Department of Electronic Systems, phone: +4599403662, email: [email protected] , concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.
Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.
For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff, The Doctoral School at The Technical Faculty of IT and Design, email: [email protected] , phone: +45 9940 9589.
For more information of The Technical Doctoral School of IT and Design: www.phd.tech.aau.dk

The application is only to be submitted online by using the "Apply online" button below.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Agreement

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 28 June 2019 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Vacancy number

8-22048

Deadline

29/06/2022

Apply online
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Online application - some good advice

Aalborg University uses an electronic recruitment system for receiving applications. Towards the bottom in the respective job advertisement you will find a link, which you need to use when applying for the position. Before uploading your application it is important that you have all relevant documentation ready in a Word or PDF format, as you need to upload all material at the same time. You cannot leave the application and return to it a couple of hours later without having to start over.

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