Options: Use Forum View

Use Proportional Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Matteo Lissandrini <[log in to unmask]>
Reply To:
Mon, 4 Sep 2023 11:02:34 -0400
text/plain (99 lines)
The Data, Knowledge and Web (DKW) group of Aalborg University (Denmark) invites applications for open postdoctoral/PhD student positions in Federated Analytics and Learning for neurodegenerative diseases.

* Location: Aalborg, Denmark

* Application Deadline: October 1st 2023

* Starting Date: December 2023 or shortly thereafter

* Contract Duration: 1 initial year for postdocs (to be renewed upon mutual agreement); 3 years for PhD students.

* Yearly Salary: Approximately DKK 450.000 (ca. EUR 60.000) for postdocs; DKK 320.000 (ca. EUR 43.000) for PhD students

# Research Topic

The work will be carried out within a upcoming European project to build a 
robust, interoperable, trustworthy, and secure framework that integrates
 multimodal health data (including genetic data) while ensuring 
compliance with cross-national privacy-preserving policies.

Specifically, the research will work towards enabling advanced federated analytics 
and learning workflow to identify new risk factors and treatment 
responses for neurodegenerative diseases.

Methods will be developed in parallel, focusing first on ALS using multicenter data encompassing Whole Genome Sequencing.

The research will include:

- Knowledge graph and semantic web
- Federated data analytics and learning
- Polystore systems
- Virtual knowledge graphs for multimodal data

The researcher will be tasked to:

- Design and deploy methods to enable individual clients to evaluate
semantic queries to retrieve data and train models in a federated
environment while keeping the data of each data source decentralized.

- Develop query execution engines and optimizers for multimodal data stored in heterogeneous databases and knowledge graphs.

The objective is to implement a federated learning infrastructure that 
enables data- and model-centric federated learning while ensuring the 
privacy and security of the data and models.

For further information, contact Daniele Dell'Aglio <[log in to unmask]> and Matteo Lissandrini <[log in to unmask]>

# Information about the positions

We offer:

- An exciting opportunity to contribute to cutting-edge research projects and collaborate with renowned experts both in Denmark and Europe.
- Possibility to have an impact on important societal themes related to advanced precision medicine.
- Thrilling research challenges. DKW has a successful track record in
top-tier conferences and journals of data management, machine learning,
and semantic web.
- A supportive environment. DKW members help each other to achieve their goals and enjoy spending time together.
- A diverse and inclusive research group. DWK includes more than 20
researchers from 10 different countries. We value diversity, inclusion
and gender balance, and we aim to promote equal career opportunities for all.
- Support for the development of the professional career and network of our group members.
- Assistance to find accommodation. More info at:
- Free coffee and tea

We require:

- A MSc (for PhD students) or a PhD (for postdocs) in computer science or a related discipline.
- Experience in knowledge graphs, semantic web, and/or machine learning.
- Curiosity and passion for learning.
- Provable fluency in at least one programming language, e.g., Python/R, Java, C++, Rust.

# Application Process

To apply, send an e-mail to Daniele Dell'Aglio <[log in to unmask]> with the following documents:

For the **Postdoc** positions, attach:

- a one-page motivation letter;
- your curriculum vitae, including the list of your publications;
- a list of at least three references;
- your PhD thesis (if available).

For the **PhD** positions, attach:

- a one-page motivation letter;
- your curriculum vitae, including the list of your publications (if available);
- all grade transcripts;
- a list of at least two references;
- your MSc thesis (if available).

*About Aalborg University:*

Aalborg University is a young university with almost 40 years of history. Since its establishment in 1974, AAU has been characterised by a problem-based and project-oriented teaching method (PBL) – also called the Aalborg Model, and by extensive collaboration with the surrounding society. Despite the fact that AAU is a fairly young university, it is already ranking amongst the best and most acknowledged international universities in the world. Aalborg is a vibrant city by the water and 
has its own airport. Denmark is among the highest ranked for the quality of life and society, see for example (

To unsubscribe from the DBWorld mailing list please visit and follow the unsubscribe directions given there.