17 Jan 2024
Job Information
- Organisation/Company
Ghent University- Research Field
Mathematics » Applied mathematics
Mathematics » Computational mathematics
Computer science » Other
Engineering » Other- Researcher Profile
First Stage Researcher (R1)- Country
Belgium- Application Deadline
31 Aug 2024 - 21:59 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
38- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Last application date Aug 31, 2024 00:00
Department TW05 - Department of Information Technology
Contract Limited duration
Degree Master's degree in computer science, Mathematics, Artificial Intelligence, or equivalent
Occupancy rate 100%
Vacancy type Research staff
Job description
PhD Researcher in Adaptive Deep Neural Networks for Robotic Sensing
Job description
The IDLab Ghent research group is seeking a highly motivated and talented PhD student to join the distributed machine learning team. Our team focuses on developing efficient machine learning algorithms for perception and control; with diverse applications in industry, robotics, remote sensing and agriculture.
As part of our ongoing research, we identified a trend towards adaptive techniques for deep neural networks. These techniques dynamically adjust the computational cost of processing new input samples, based on factors such as input complexity, desired accuracy, or remaining battery capacity. This approach, compared to traditional architectures with fixed inference paths, proves to be more efficient in terms of latency and energy consumption, especially for resource-constrained devices like embedded compute platforms on drones and robots. As these devices operate in diverse or changing conditions, the models should support some sort of adaptive inference paths with early-exit mechanisms, or continuous learning mechanism to adapt to changing input data distributions and conditions.
In this PhD, you will be focusing on autonomous systems that use complex machine learning models to extract information from high-rate, high-dimensional sensors such as radar or hyperspectral cameras. You will design novel architectures with flexible inference paths and/or self-learning capabilities.
The PhD is part of the ambitious Flanders AI Research program (https://www.flandersairesearch.be/en ). Within this context, you will be able to interact with many fellow PhD students and industry stakeholders throughout Flanders.
Your main tasks include:
- Reviewing literature on efficient deep neural network methods, adaptive inference and self-learning techniques.
- Designing and implementing transformer-based models for real-time processing of high-dimensional sensor data (radar, hyperspectral).
- Developing techniques for efficient inference and continuous learning of deep neural network architectures. These designs should be informed by the specific hardware configuration of embedded platforms.
- Cooperating with domain experts in areas such as agriculture and remote sensing in order to build proof-of-concept demonstrations of novel sensing solutions on AI accelerators.
- Writing high quality publications, targeting top journals and international conferences.
In addition to your primary research responsibilities, you will actively contribute to the educational mission of our institution by providing support for various courses in areas such as machine learning and algorithm design. In addition, you can take on a mentoring role by supervising master theses related to the subject of this PhD.
We offer the opportunity to do this research in an international and stimulating environment. Ghent University consistently ranks among the best 100 universities in the world. Located in the heart of Europe, Ghent is a beautiful and welcoming city (https://www.lonelyplanet.com/articles/ghent-belgiums-best-kept-secret ) with plenty of cultural and leisure activities.
The selected candidate will be offered a 4-year employment, with an intermediate evaluation after the first year (1+3 years). The salary is competitive and will be determined by the university salary scales. In addition, staff members can count on a number of benefits, such as a broad range of training and educational opportunities, 36 days of vacation leave, bicycle allowance, and more.
Job profile
We are looking for a highly creative and motivated PhD student with the following qualifications and skills:
- You have (or will obtain in the next months) a (European) master's degree in computer science, Mathematics, Artificial Intelligence, or equivalent, with excellent ('honors'-level) grades. Your degree must be equivalent to 5 years of studies (bachelor + master) in the European Union.
- You have a strong background in machine learning and are eager to advance the state-of-the-art in adaptive inference.
- You have excellent computer science skills (python, git, linux, etc.)
- You have hands-on experience with machine learning frameworks such as PyTorch or Tensorflow.
- Experience with computer vision, remote sensing, drones, hyperspectral imaging or embedded compute platforms (e.g. NVIDIA Jetson, Edge TPU, …) is considered a strong plus.
- You have strong analytical skills to interpret the obtained research results.
- You are a team player and have strong communication skills.
- Your English is fluent (C1 CEFR level) both speaking and writing.
How to apply
How to apply
Send your application by email to Prof. Pieter Simoens ([email protected] ) and dr. Sam Leroux ([email protected] ). Applications should include
- An academic/professional resume
- Transcripts of study results
- At least two reference contacts.
- A short overview describing your earlier research or technical work (e.g., scientific papers, master thesis, report on project work, etc.). These documents need not be on the topic of the advertised position.
After a first screening, selected candidates will be invited for an interview (also possible via Teams).
Application deadline: continuous evaluation until the vacancy is filled
Requirements
- Research Field
- Mathematics
- Years of Research Experience
- 1 - 4
- Research Field
- Mathematics
- Years of Research Experience
- 1 - 4
- Research Field
- Computer science
- Years of Research Experience
- 1 - 4
- Research Field
- Engineering
- Years of Research Experience
- 1 - 4
Additional Information
- Website for additional job details
https://academicpositions.com
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Ghent University
- Country
- Belgium
- City
- Ghent
- Postal Code
- 9000
- Street
- Sint-Pietersnieuwstraat 33
Where to apply
- Website
https://academicpositions.com/ad/ghent-university/2024/phd-researcher-in-adapti…
Contact
- City
Ghent- Website
http://www.ugent.be/en- Postal Code
9000
STATUS: EXPIRED
Similar Positions
-
Researcher In Medical Image Analysis (Pa2024/1400) , University of Lund, Sweden, about 11 hours ago
Description of the workplace As researcher in medical image analysis you will be placed at the Divison of Computer Vision and Machine Learning (CVML) at the Centre for Mathematical Sciences (https...
-
Postdoc Position On Scalable Energy Efficient Deep Learning, University of Twente, Netherlands, about 17 hours ago
Vacancies Postdoc position on Scalable Energy-Efficient Deep Learning Key takeaways The successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep lear...
-
Researcher 1108 In Informatics – Computational Biology, University of Bergen, Norway, about 3 hours ago
Researcher 1108 in Informatics – Computational Biology Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world around us – glob...
-
Post Doctor (2 Years) Position With Focus On Secure Federated Learning , Umeå University, Sweden, about 22 hours ago
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-...
-
Research Fellow I, Singapore University of Technology & Design, Singapore, 1 day ago
Skills: Management science and incentive mechanism design for decarbonizing urban operation Qualifications: PhD degree in management science, computer science, electrical engineering, or applied m...
-
Research Assistant In Electromobility Machine Learning, Data Security, And Privacy, Uppsala University, Sweden, about 10 hours ago
Published: 2024-04-15 Electrification and digitalisation are among the largest areas for the future in the conversion to sustainable societies. The Department of Electrical Engineering conducts s...