Postdoc in Simulation and AI in APEX project - Artificial Intelligence for Policy Excellence in the Climate Crisis – DTU Management

Postdoc Opportunity in Simulation and AI at DTU – APEX Project

We are excited to offer a two-year postdoctoral position in the Artificial Intelligence for Policy Excellence in the Climate Crisis (APEX) project at the prestigious Technical University of Denmark (DTU). This project aims to leverage AI to develop advanced Machine Learning (ML)-based approximators for simulators, significantly accelerating existing complex simulation models and contributing to scientific advancement.

Position Overview

As a Postdoc, starting on September 1, 2024, your main responsibilities will include setting up, calibrating, and analyzing pre-existing simulators that will form the workbench for the APEX project. The simulation tools will cover areas such as Transport, Energy, and Environment and will be discussed upon project initiation. While expertise in these areas is less crucial, a solid understanding and experience with complex simulation tools is essential.

Project Goals

The APEX project aims to develop ML-based automatic approximators to existing simulators that can replicate out-of-distribution performance with significantly better efficiency. Multiple approaches will be tested on simulators of increasing complexity, ultimately contributing to an integrated assessment model (IAM) for use in reinforcement learning frameworks.

Key Responsibilities

• Set up a simulation environment for APEX using existing, preferably open-source, tools.
• Modularize each simulator into logical sub-components related to ML concepts such as causality, representation learning, inductive bias, and regularization.
• Contribute to the development of new machine learning methodologies applied to simulators.
• Co-advise students involved in the project, meet regularly with principal investigators, and disseminate findings in journals and conferences.

Qualifications

Applicants must possess a PhD degree in mathematics, statistics, computer science, or a related discipline. We seek candidates who are ambitious, self-organized, and have strong project management and communication skills. Experience in areas such as simulation, mathematical modeling, machine learning, and data analysis is required. Proficiency in Python and at least one object-oriented programming language (e.g., C++, Java, C#), as well as fluency in English, is mandatory.

Why DTU?

DTU is a globally recognized technical university known for its excellence in research, education, innovation, and scientific advice. We offer a rewarding and challenging job in an international environment, striving for academic excellence characterized by collegial respect and academic freedom tempered by responsibility.

Salary and Employment Terms

The appointment is based on the collective agreement with the Danish Confederation of Professional Associations. The period of employment is full-time for 2 years, starting from September 1, 2024. Salary and benefits will be agreed upon with the relevant union.

Application Procedure

Submit your comprehensive online application by 1 July 2024 (23:59 Danish time). Combine all materials into a single PDF file, including:

• Application (cover letter, list of at least three references)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications

Applications received after the deadline will not be considered. We encourage all interested candidates, regardless of age, gender, disability, race, religion, or ethnic background, to apply.

About DTU Management

The Intelligent Transportation Systems (ITS) section belongs to the Transport Science division of the Department of Technology, Management, and Economics (DTU Management) at DTU. The division focuses on high-level research and teaching in traffic and transport planning, machine learning, and simulation, emphasizing behavior modeling and sustainability.

DTU Management is dedicated to exploring the interaction between technology and society, aiming to create knowledge in areas such as management science, innovation, systems, and risk analysis. We offer an inclusive, evolving, and informal working environment with a mission to develop and create value using science and engineering to benefit society.

Contact Information

For further details, please contact Professor Francisco Pereira at . Learn more about DTU Management at .

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