The Machine Learning research group has several openings for PhD candidates and 
Postdoctoral researchers in the context of Luc De Raedt’s ERC Advanced Grant 
Project SYNTH (Synthesising Inductive Data Models) that starts on September 1, 
2016, see http://synth.cs.kuleuven.be/.  
The openings are related to the areas of 

•       The automation of data science
•       Probabilistic Programming
•       Statistical relational artificial intelligence
•       Constraint programming
•       Data Mining & Machine Learning
•       Inductive databases and rule learning
•       Program synthesis and inductive programming

The ERC SYNTH Project

The ultimate goal of the SYNTH project is to automate the task of the data 
scientist when developing intelligent systems, which is to extract knowledge 
from data in the form of models.  This extraction process involves many steps: 
one needs to select the right subset of the data, put that data in the right 
form, determine what the learning tasks will be, select the right algorithms, 
evaluate the results, etc.  This makes data science a real craft and requires 
the involvement of highly skilled data scientists.
The key research question that we want to answer in the SYNTH project is 
whether it is possible to automate or semi-automate the data science process.  
The goal of SYNTH is to develop theory, methodology, techniques and tools that 
automate the different steps in this process. When we succeed it will become 
much easier to analyse data.  


The DTAI Research group at KULeuven

The lab for Declarative Languages and Artificial Intelligence hosts about 12 
professors, 6 post-docs and 40 PhD students. DTAI is internationally renowned 
for its expertise in integrating different forms of reasoning (inductive, 
deductive and probabilistic), in logical learning, statistical relational 
learning, probabilistic programming, learning from structured data (relational 
databases and graphs), inductive logic programming, inductive databases, 
action-activity learning, knowledge representation and data mining, and 
constraint programming. In addition to fundamental research in machine learning 
and data mining, the DTAI group applies the developed techniques to concrete 
cases situated in intensive care monitoring, predictive maintenance, smart 
self-diagnosis, mechatronics, robot manipulation and navigation, bio- and 
cheminformatics, natural language processing, smart electronics, computer 
vision, etc. For these applications, DTAI cooperates with other groups from 
strategically chosen research areas. 


The KU Leuven

Situated in Belgium, in the heart of Western Europe, KU Leuven has been a 
centre of learning for nearly six centuries. Today, it is Belgium's largest 
university and, founded in 1425, one of the oldest and most renowned 
universities in Europe. KU Leuven offers a wide variety of international 
master’s programmes, all supported by high-quality, innovative, 
interdisciplinary research. It counts about 11,500 staff and 57,000 students, 
including 7,500 international students representing 146 nationalities.
Since its founding, KU Leuven has been based in the city that shares its name. 
Leuven is a pleasant, safe and bustling student town, where centuries-rich 
history meets cutting-edge science.

The ideal Candidate

The ideal candidate is a computer scientist with interest and expertise in 
artificial intelligence, databases, data mining, machine learning, and/or 
probabilistic graphical models. He/she is interested in theory, a skilled 
programmer, and excited about applications of AI and data science. He/she is 
dynamic and open-minded.
KU Leuven is an equal opportunity employer.  Positions will be filled as soon 
as qualified and suitable candidates are found.

Info?

Please contact Prof. Luc De Raedt ([email protected])

Apply? http://synth.cs.kuleuven.be/

There are also openings on other projects related to probabilistic programming.

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