PhD in deep learning

1 Mar 2024
Job Information

Organisation/Company

University of Antwerp

Department

Electronics - ICT Engineering

Research Field

Computer science » Programming
Geosciences » Hydrology
Environmental science » Water science
Engineering » Water resources engineering
Environmental science » Global change
Environmental science » Natural resources management

Researcher Profile

First Stage Researcher (R1)

Country

Belgium

Application Deadline

10 Apr 2024 - 23:59 (Europe/Brussels)

Type of Contract

Temporary

Job Status

Full-time

Offer Starting Date

1 Oct 2024

Is the job funded through the EU Research Framework Programme?

HE

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

This PhD research aims to develop deep learning-based methods for bias correction of climate model simulations, conduct big data analysis for climate change impact assessments, and model extreme events such as floods, droughts, and compound extreme events.

Requirements

Research Field

Computer science » Programming

Education Level

Master Degree or equivalent

Skills/Qualifications

• You hold a Master degree in Computer Science, Engineering, Mathematics, or Physics (or you will have obtained it by the time you start work).
• You can demonstrate excellent study results. Publications and international experience are an asset.
• Your teaching competences are in line with the University of Antwerp’s educational vision .
• Your research qualities are in line with the faculty and university research policies .
• You act with attention to quality, integrity, creativity, and cooperation.
• You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch).
• You can speak and write fluently in English.
• A background in climate extreme event analysis is desirable, but not mandatory.
• You are well-organized, have strong prioritization skills, consistently deliver on time, and are capable of autonomously planning and executing tasks.

Specific Requirements

• You will work actively on the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods. Your responsibilities will include developing deep learning-based methods for bias correction of climate model simulations, conducting big data analysis for climate change impact assessments, and modelling extreme events such as floods, droughts, and compound extreme events.
• You will publish scientific articles related to the research project and present results at international conferences and meetings.
• You will carry out a limited number of teaching and research support tasks for a maximum of 2 hours per week.
• You will contribute to the Horizon Europe project SCEWERO and other relevant projects.
• You will supervise bachelor and master students.

Languages

ENGLISH

Level

Excellent

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

University of Antwerp

Country

Belgium

State/Province

Antwerp

City

Antwerpen

Postal Code

2020

Geofield

Where to apply

Website

https://www.uantwerpen.be/en/jobs/vacancies/academic-staff/?q=3318&descr=Doctor…

Contact

City

Antwerpen

Website

https://www.uantwerpen.be/en/

Street

Groenenborgerlaan 171

Postal Code

2020

STATUS: EXPIRED