Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

CNRS

Closing soon

Just Landed

Postdoctoral Position: Reliable Translation of Natural Language into Formal Specifications CNRS in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 20, 2026

Country flag

Country

France

University

CNRS

Apply for this position

Keywords

Computer Science
Information Technology
Mathematics
Natural Language Processing
Reinforcement Learning
Artificial Neural Network
Temporal Logic
Smart Contract
ML

Suggested positions

Publisher
source

Inria Centre de Recherche Rennes Bretagne Atlantique

Country flag

France

Inria is recruiting a postdoctoral researcher for a 12-month fixed-term position at the Inria Centre at the University of Rennes in Rennes, France . The project sits in security and confidentiality / systems and networks and focuses on AI-based transfer of attacks between datasets . The research idea is to adapt style transfer concepts from image and text generation to network attack datasets. The goal is to preserve the attack behavior and impact while changing environment-specific characterist...

Computer Science
Electrical Engineering
Information Technology
+4 more

1 month ago

Publisher
source

University College London

Country flag

United Kingdom

SOFAIR is recruiting fully funded PhD students for research in foundational AI at the UCL AI Centre in London. The opportunity is focused on advancing AI theory , novel architectures , open-source models , and trustworthy AI systems , with collaboration alongside researchers from UCL , Oxford , Cambridge , and Edinburgh . This is a 4-year studentship and is described as fully funded . The post does not mention a specific stipend amount, tuition details, or additional benefits, but it clearly ind...

Computer Science
Information Technology
Mathematics
+1 more

1 month ago

Publisher
source

Université Paris-Saclay

Country flag

France

Postdoctoral position in modeling conversational structure and interactions for the ANR-MINERAL project at Université Paris-Saclay in Orsay, France , within the LIPS Team at the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) . The project sits at the intersection of natural language processing , speech processing , machine learning , and computational analysis of dialogue/conversation. Applicants should have a PhD in one of these areas and be comfortable working with Python and ...

Computer Science
Psychology
Information Technology
+4 more

2 weeks ago

Publisher
source

IMDEA Software Institute

Country flag

Spain

This PhD project at the IMDEA Software Institute in Madrid, Spain explores how machine learning can be combined with formal verification to build a more general synthesis framework. The research focuses on learning-enabled counterexample-guided inductive synthesis (CEGIS) , where learning methods help search efficiently through candidate solutions while verification checks correctness and returns counterexamples for further improvement. The advertised work aims to move beyond domain-specific syn...

Computer Science
Information Technology
Mathematics
+4 more

Posted Yesterday

Publisher
source

Integreat - Norwegian Centre for Knowledge-driven Machine Learning

Country flag

Norway

PhD Research Fellow position in Structured Vision-Language Models at Integreat – Norwegian Centre for Knowledge-driven Machine Learning in Norway. This opening is focused on research at the intersection of computer vision, language understanding, and machine learning, with an emphasis on structured vision-language modeling. The role is suited to a doctoral candidate interested in multimodal AI, representation learning, and model architectures that combine visual and textual information in a prin...

Computer Science
Electrical Engineering
Information Technology
+5 more

1 week ago

About this position

This postdoctoral position is part of the ANR BBSYTER project on formal verification of smart contracts at CNRS. The recruited researcher will work on methods that translate natural-language instructions and requirements into formal logical specifications, with a particular emphasis on linear temporal logic (LTL) and logically correct translations.

The project combines several research directions: semantic translation from natural language to formal formulas, the design of a controlled natural language for smart-contract specification, and the development of parsing methods that can identify relevant syntactic structures and build corresponding semantic representations. The work explicitly includes the use of abstract syntax trees (ASTs), variables, and function calls drawn from smart-contract contexts.

The researcher will investigate both symbolic and neural approaches, including pre-trained language models, reinforcement learning, and latent-variable models, and will study how grammatical/formal methods can be combined with machine-learning techniques to improve the reliability of translations. The position also involves designing experimental evaluations of semantic fidelity, logical correctness, robustness, and usability, as well as exploring ambiguity resolution and interactive clarification when moving beyond constrained language.

The postdoctoral work is clearly research-oriented and sits at the intersection of NLP, formal methods, and AI for trustworthy specification generation.

Funding details

Available

How to apply

Apply through the posted application link on the CNRS/Choisir le service public page. Follow the portal instructions for submitting your application materials.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.