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PhD: Learning-Guided Evolutionary Optimisation for Noisy Combinatorial Problems
Where: University of Exeter, Exeter,
United Kingdom
What: Interested in a fully-funded PhD in Computer Science at the University of Exeter, UK and working with me?
Please apply soon!! Deadline - 19th July, 2024
Project Title: Learning-Guided Evolutionary Optimisation for Noisy Combinatorial Problems
Supervisor: Dr. Aishwaryaprajna
Description: Current challenges of core AI research often involve combinatorial problems with uncertainty, where the best solution must be searched from a large space of possibilities, mingled with random noise. Combinatorial optimisation problems can be graph-based or of bin-packing style, have constraints and multiple conflicting objectives or require expensive function evaluations. This project will explore learning mechanisms that can steer evolutionary operators through noise towards discovering superior solutions of these combinatorial problems with faster convergence. The scope of this PhD will include benchmarking procedures to assess algorithmic performance, theoretical performance guarantees for algorithms and addressing real-world applications on feature selection with large-scale dataset for healthcare and multi-agent system for route finding problem.
Apply here: https://www.exeter.ac.uk/study/funding/award/?id=5171
Who: Dr Aishwaryaprajna, Aishwaryaprajna@gmail.com
When: Until 2024-07-18 19:00
Presented at next GECCO?:
research position: AI Research Scientist - Cognizant AI Labs
Where: San Francisco, California, United States,
United States
What: Cognizant AI Labs:
Cognizant works with an incredible diversity of organizations across the globe, using AI to improve decision-making, robustness, forecasting, and growth at every level of operation.
Within Cognizant, Cognizant AI Labs serves as the center of excellence for pioneering AI research. The team works to develop novel approaches to solve both fundamental scientific problems and challenges from real-world applications.
The work done by Cognizant AI Labs serves to inspire and catalyze real-world applications implemented by Cognizant, and reciprocally, real-world challenges encountered in Cognizant’s diverse ecosystem of applications serve to inspire foundational research at Cognizant AI Labs.
Your role:
As a research scientist, you will work with the Cognizant AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-world applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. With an explicit focus on AI for Good applications alongside basic research, the team envisions a world where AI systems are safe, robust, sustainable, long-lived, and inspiring. The team's current research is focused around areas including, but not limited to:
Key Responsibilities:
Qualifications:
Important Note: The application URL may occasionally expire or show "position filled". No worries! We are still hiring! If you are interested in this position, or have any questions about this job posting, feel free to contact the hiring manager Xin Qiu (xin.qiu@cognizant.com) or Elliot Meyerson (elliot.meyerson@cognizant.com).
Who: https://careers.cognizant.com/global-en/jobs/00058670981/ai-research-scientist/
When: Until 2024-12-30 11:00
Presented at next GECCO?: yes
post-doc: Post-Doc Position - Plasticity of an insect brain: a neuro-evolutionary approach
Where: Toulouse, France,
France
What: Duration: 2 years + 2 renewable years
Starting date: Jan-Jun 2025
Summary: The visual navigation behaviour of insects such as ants and bees is one of the most remarkable example of the ability of mini-brains to produce sophisticated and robust behaviours in complex environments. We have excellent recordings of the trajectory effected by these insects as they venture out of their nest to forage for food. Also, thanks to the development of the neurobiological tools in insects, we have an increasingly detailed description of the circuitry of these mini-brains. These networks, made up of a large number of interacting units (the neurons), are the site of a highly dynamic internal activity that enable an efficient coupling of the organism with its environment. Current insect neural models explain well the ability of the ants to navigate at a t-time, but do not explain the ability of insects to self-develop their navigational skills and compensate to impairments, that is, their plasticity and resilience. This project aims at developing plastic neural models that capture the insect navigational plasticity and resilience.
The neuro-evolutionary approach: simulation of navigating ant-agent models equipped with evolving, plastic neural networks models, which process visual information and drive motor action. These virtual agents will navigate in virtual reconstructions of ants’ natural environment, so as to generate feedbacks from motor action to perception. The evolved agents’ behaviours will be compared with the observed behaviours of real ants. The evolved neural architecture will be tuned towards and compared with real insect neural circuits.
Environment: The position is funded by the ERC-consolidator-grant project RESILI-ANT, led by Dr. Antoine Wystrach, expert in ant navigation neural models. The participant will be hosted within the project team in the University of Toulouse Paul Sabatier, and work closely with the PI Antoine Wystrach, another post-doc and two PhD students performing behavioural studies in the field and in virtual reality, and a research engineer.
Applicant profile
- Strong background in neuroevolutionary algorithms.
- Suggested specifics skills: NEAT, NAS, Quality Diversity, Recurrent Networks, Plasticity rules.
- Ability to develop custom neuroevolutionary approaches
- Use of computing clusters.
- General skills in Python.
- Skills in 3D image rendering (optional)
Who: Antoine Wystrach <antoine.wystrach@univ-tlse3.fr>, Dennis Wilson <dennis.wilson@isae.fr>
When: Until 2024-11-30 10:00
Presented at next GECCO?: yes
PhD: PhD Opportunities in NICOG at the University of Pretoria, South Africa
Where: Pretoria,
South Africa
What: We have various PhD opportunities in NICOG (Nature Inspired Computing Optimization Group) in the Department of Computer Science, University of Pretoria, South Africa:
1) Joint King’s College London and University of Pretoria PhD Program
2) MultiChoice PhD Scholarship
3) University of Pretoria PhD Commonwealth Scholarship for Doctoral Students
The research areas include machine learning for optimization, transfer learning in evolutionary spaces and automated design of machine learning and search algorithms. If you are interested in these opportunities, you can contact me via email nelishia.pillay at up.ac.za.
Who: nelishia.pillay@up.ac.za
When: Until 2024-08-16 10:00
Presented at next GECCO?: yes
post-doc: Postdoc Position - Optimisation of Design and Operation of Junctions in Transportation Networks
Where: University of Exeter, Exeter, United Kingdom
What: https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/etrec179gf.open?WVID=171839ediw&LANG=USA&VACANCY_ID=118112kAWr
Please note that I am attending GECCO remotely and so contact via e-mail or Whova will be preferred.
Who: Prof. Ed Keedwell, E.C.Keedwell@exeter.ac.uk
When: Until 2024-07-20 19:00
Presented at next GECCO?: no
PhD: PhD in Constrained Multiobjective Optimization at the Jožef Stefan Institute
Where: Ljubljana,
Slovenia
What: The Computational Intelligence (CI) Group of the Department of Intelligent Systems at the Jožef Stefan Institute in Ljubljana, Slovenia, offers a PhD student position starting in October 2024 under the supervision of Tea Tušar. The topic is Computational Intelligence Methods for Solving Complex Optimization Problems (see https://mr.ijs.si/en/doc-dr-tea-tusar-2/ for more information).
The CI group studies evolutionary algorithms for single- and multiobjective optimization, visualization of their results, and performance assessment methodology. We deal with both basic research and applied projects, and have many collaborations with researchers from abroad.
We are looking for a PhD student who is curious, likes to develop new ideas and knows the Python programming language. The candidate must complete a second-level university study program (mathematics, computer science or other relevant fields) by the 15th of September 2024 with an average study grade of at least 8 (out of 10).
The PhD student will be involved in research in the field of computational intelligence. You will be employed at the Jožef Stefan Institute and enrolled in the PhD program at the Jožef Stefan International Postgraduate School.
The application deadline is on the 15th of August 2024. See https://mr.ijs.si/en/tender/ for more information about the call for tenders.
Contact for additional information and expression of interest: tea.tusar at ijs.si
Who: tea.tusar@ijs.si
When: Until 2024-08-14 18:00
Presented at next GECCO?: yes
PhD: Theory or application of evolutionary computation for multimodal or multiobjective optimization
Where: University of New South Wales, Canberra,
Australia
What: PhD positions are available for candidates with a research background and interest in theory or applications of evolutionary computation for multimodal or multiobjective optimization. Scholarships are also available for applicants with strong educational/research backgrounds and interests.
Who: Ali Ahrari
When: Until 2024-12-30 08:00
Presented at next GECCO?: yes
research engineer in academia: PostDoc, Software developer, research engineer position in ERC project dynaBBO at Sorbonne University in Paris, France
Where: Paris, France
What: I am recruiting PostDocs, a research engineer, and a software developer for my ERC project dynaBBO: Dynamic Selection and Configuration of Black-box Optimization Algorithms.
The project is at the intersection of AutoML and evolutionary computation, with strong theoretical and empirical components. We will design mechanisms that allow us to switch between different black-box optimization approaches, with the goal to leverage their complementarity not only with respect to different problem types/instances but also with respect to different phases of the optimization process. We will study mathematical and Machine Learning aspects of this problem.
You will be employed by CNRS (French national center for scientific research) and work with me and my team at Sorbonne University.
Who: Carola Doerr
When: Until 2024-09-14 18:00
Presented at next GECCO?: no
post-doc: Postdoc on Applied AI (Machine Learning and Evolutionary Computation)
Where: University of Technology Sydney, Australia
What: University of Technology Sydney (UTS) is hosting a Marie Skłodowska Curie Actions (MSCA) Postdoctoral Global Fellows.
Prof. Gandomi would be happy to supervise an applicant who has a strong CV and a competitive proposal in Applied AI, including Machine Learning and Evolutionary Computation. UTS is the #1 young university in Australia based on both QS and THE rankings, and is ranked 3rd globally in AI based on US News.
The MSCA Postdoc Global Fellowship covers salary/living costs, research and travel expenses, and family and special needs allowances, if applicable. Noted, only nationals or long-term residents of the EU Member States or Horizon Europe Associated Countries can apply for the global scheme.
Who: Amir H Gandomi
When: Until 2024-09-10 10:00
Presented at next GECCO?: yes
PhD: Applied AI for Data Analytics and Optimisation
Where: University of Technology Sydney, Australia
What: Call for PhD applications in Applied AI:
We are currently accepting applications for international PhD scholarship candidates at the University of Technology Sydney – City campus. We have a healthy number of competitive awards for 2023; for now, it is for RS1 (closing date 31st July 2023, start dates from January 2023). If you have a competitive CV with high-quality publications, and also working on the application of machine learning, data analytics, evolutionary computation, or optimization, particularly in medical, biomedical, construction, water management, structural health monitoring, and civil infrastructure, I invite you to email your CV to me at gandomi at uts.edu.au using your academic email. Please include "PhD applicant in Applied AI" in the subject line.
University of Technology Sydney is ranked 3rd worldwide for AI, according to U.S. News.
Who: https://profiles.uts.edu.au/amirhossein.gandomi
When: Until 2024-10-30 09:00
Presented at next GECCO?: yes
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PhD: Learning-Guided Evolutionary Optimisation for Noisy Combinatorial Problems
Where: University of Exeter, Exeter,
United KingdomWhat: Interested in a fully-funded PhD in Computer Science at the University of Exeter, UK and working with me?
Please apply soon!! Deadline - 19th July, 2024
Project Title: Learning-Guided Evolutionary Optimisation for Noisy Combinatorial Problems
Supervisor: Dr. Aishwaryaprajna
Description: Current challenges of core AI research often involve combinatorial problems with uncertainty, where the best solution must be searched from a large space of possibilities, mingled with random noise. Combinatorial optimisation problems can be graph-based or of bin-packing style, have constraints and multiple conflicting objectives or require expensive function evaluations. This project will explore learning mechanisms that can steer evolutionary operators through noise towards discovering superior solutions of these combinatorial problems with faster convergence. The scope of this PhD will include benchmarking procedures to assess algorithmic performance, theoretical performance guarantees for algorithms and addressing real-world applications on feature selection with large-scale dataset for healthcare and multi-agent system for route finding problem.
Apply here: https://www.exeter.ac.uk/study/funding/award/?id=5171
Who: Dr Aishwaryaprajna, Aishwaryaprajna@gmail.com
When: Until 2024-07-18 19:00
Presented at next GECCO?:
research position: AI Research Scientist - Cognizant AI Labs
Where: San Francisco, California, United States,
United StatesWhat: Cognizant AI Labs:
Cognizant works with an incredible diversity of organizations across the globe, using AI to improve decision-making, robustness, forecasting, and growth at every level of operation.
Within Cognizant, Cognizant AI Labs serves as the center of excellence for pioneering AI research. The team works to develop novel approaches to solve both fundamental scientific problems and challenges from real-world applications.
The work done by Cognizant AI Labs serves to inspire and catalyze real-world applications implemented by Cognizant, and reciprocally, real-world challenges encountered in Cognizant’s diverse ecosystem of applications serve to inspire foundational research at Cognizant AI Labs.
Your role:
As a research scientist, you will work with the Cognizant AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-world applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. With an explicit focus on AI for Good applications alongside basic research, the team envisions a world where AI systems are safe, robust, sustainable, long-lived, and inspiring. The team's current research is focused around areas including, but not limited to:
- AI for decision-making
- AI orchestration
- Trustworthy AI
- Open-ended AI
- Sequential/time-series domains
- Multi-agent systems
- ALife
- LLMs
- Evolutionary computation
Key Responsibilities:
- Work with the Advanced AI Labs research team to develop original ideas that can contribute to the AI community
- Design experiments and evaluation methodologies for testing these ideas
- Implement novel algorithms and evaluation frameworks
- Manage experiments, analyze results, and iterate rapidly
- Communicate ideas and results to a larger audience
- Publish papers based on this work
- Advise AI engineers on the development of practical applications
Qualifications:
- Should have a PhD in Computer Science or another technical field.
- Passion for AI research and AI for Good.
- 3+ years of experience in AI or ML research.
- Publications at venues such as ICLR, NeurIPS, GECCO, ALife, AAAI, IJCAI, ICML, etc.
- Strong implementation skills.
- Experience with LLMs.
- Strong problem-solving and analytic skills.
- Strong attention to detail and ability to work independently.
- Excellent verbal and written communication skills.
Important Note: The application URL may occasionally expire or show "position filled". No worries! We are still hiring! If you are interested in this position, or have any questions about this job posting, feel free to contact the hiring manager Xin Qiu (xin.qiu@cognizant.com) or Elliot Meyerson (elliot.meyerson@cognizant.com).
Who: https://careers.cognizant.com/global-en/jobs/00058670981/ai-research-scientist/
When: Until 2024-12-30 11:00
Presented at next GECCO?: yes
post-doc: Post-Doc Position - Plasticity of an insect brain: a neuro-evolutionary approach
Where: Toulouse, France,
FranceWhat: Duration: 2 years + 2 renewable years
Starting date: Jan-Jun 2025
Summary: The visual navigation behaviour of insects such as ants and bees is one of the most remarkable example of the ability of mini-brains to produce sophisticated and robust behaviours in complex environments. We have excellent recordings of the trajectory effected by these insects as they venture out of their nest to forage for food. Also, thanks to the development of the neurobiological tools in insects, we have an increasingly detailed description of the circuitry of these mini-brains. These networks, made up of a large number of interacting units (the neurons), are the site of a highly dynamic internal activity that enable an efficient coupling of the organism with its environment. Current insect neural models explain well the ability of the ants to navigate at a t-time, but do not explain the ability of insects to self-develop their navigational skills and compensate to impairments, that is, their plasticity and resilience. This project aims at developing plastic neural models that capture the insect navigational plasticity and resilience.
The neuro-evolutionary approach: simulation of navigating ant-agent models equipped with evolving, plastic neural networks models, which process visual information and drive motor action. These virtual agents will navigate in virtual reconstructions of ants’ natural environment, so as to generate feedbacks from motor action to perception. The evolved agents’ behaviours will be compared with the observed behaviours of real ants. The evolved neural architecture will be tuned towards and compared with real insect neural circuits.
Environment: The position is funded by the ERC-consolidator-grant project RESILI-ANT, led by Dr. Antoine Wystrach, expert in ant navigation neural models. The participant will be hosted within the project team in the University of Toulouse Paul Sabatier, and work closely with the PI Antoine Wystrach, another post-doc and two PhD students performing behavioural studies in the field and in virtual reality, and a research engineer.
Applicant profile
- Strong background in neuroevolutionary algorithms.
- Suggested specifics skills: NEAT, NAS, Quality Diversity, Recurrent Networks, Plasticity rules.
- Ability to develop custom neuroevolutionary approaches
- Use of computing clusters.
- General skills in Python.
- Skills in 3D image rendering (optional)
Who: Antoine Wystrach <antoine.wystrach@univ-tlse3.fr>, Dennis Wilson <dennis.wilson@isae.fr>
When: Until 2024-11-30 10:00
Presented at next GECCO?: yes
PhD: PhD Opportunities in NICOG at the University of Pretoria, South Africa
Where: Pretoria,
South AfricaWhat: We have various PhD opportunities in NICOG (Nature Inspired Computing Optimization Group) in the Department of Computer Science, University of Pretoria, South Africa:
1) Joint King’s College London and University of Pretoria PhD Program
2) MultiChoice PhD Scholarship
3) University of Pretoria PhD Commonwealth Scholarship for Doctoral Students
The research areas include machine learning for optimization, transfer learning in evolutionary spaces and automated design of machine learning and search algorithms. If you are interested in these opportunities, you can contact me via email nelishia.pillay at up.ac.za.
Who: nelishia.pillay@up.ac.za
When: Until 2024-08-16 10:00
Presented at next GECCO?: yes
post-doc: Postdoc Position - Optimisation of Design and Operation of Junctions in Transportation Networks
Where: University of Exeter, Exeter,
United KingdomWhat: https://jobs.exeter.ac.uk/hrpr_webrecruitment/wrd/run/etrec179gf.open?WVID=171839ediw&LANG=USA&VACANCY_ID=118112kAWr
Please note that I am attending GECCO remotely and so contact via e-mail or Whova will be preferred.
Who: Prof. Ed Keedwell, E.C.Keedwell@exeter.ac.uk
When: Until 2024-07-20 19:00
Presented at next GECCO?: no
PhD: PhD in Constrained Multiobjective Optimization at the Jožef Stefan Institute
Where: Ljubljana,
SloveniaWhat: The Computational Intelligence (CI) Group of the Department of Intelligent Systems at the Jožef Stefan Institute in Ljubljana, Slovenia, offers a PhD student position starting in October 2024 under the supervision of Tea Tušar. The topic is Computational Intelligence Methods for Solving Complex Optimization Problems (see https://mr.ijs.si/en/doc-dr-tea-tusar-2/ for more information).
The CI group studies evolutionary algorithms for single- and multiobjective optimization, visualization of their results, and performance assessment methodology. We deal with both basic research and applied projects, and have many collaborations with researchers from abroad.
We are looking for a PhD student who is curious, likes to develop new ideas and knows the Python programming language. The candidate must complete a second-level university study program (mathematics, computer science or other relevant fields) by the 15th of September 2024 with an average study grade of at least 8 (out of 10).
The PhD student will be involved in research in the field of computational intelligence. You will be employed at the Jožef Stefan Institute and enrolled in the PhD program at the Jožef Stefan International Postgraduate School.
The application deadline is on the 15th of August 2024. See https://mr.ijs.si/en/tender/ for more information about the call for tenders.
Contact for additional information and expression of interest: tea.tusar at ijs.si
Who: tea.tusar@ijs.si
When: Until 2024-08-14 18:00
Presented at next GECCO?: yes
PhD: Theory or application of evolutionary computation for multimodal or multiobjective optimization
Where: University of New South Wales, Canberra,
AustraliaWhat: PhD positions are available for candidates with a research background and interest in theory or applications of evolutionary computation for multimodal or multiobjective optimization. Scholarships are also available for applicants with strong educational/research backgrounds and interests.
Who: Ali Ahrari
When: Until 2024-12-30 08:00
Presented at next GECCO?: yes
research engineer in academia: PostDoc, Software developer, research engineer position in ERC project dynaBBO at Sorbonne University in Paris, France
Where: Paris,
FranceWhat: I am recruiting PostDocs, a research engineer, and a software developer for my ERC project dynaBBO: Dynamic Selection and Configuration of Black-box Optimization Algorithms.
The project is at the intersection of AutoML and evolutionary computation, with strong theoretical and empirical components. We will design mechanisms that allow us to switch between different black-box optimization approaches, with the goal to leverage their complementarity not only with respect to different problem types/instances but also with respect to different phases of the optimization process. We will study mathematical and Machine Learning aspects of this problem.
You will be employed by CNRS (French national center for scientific research) and work with me and my team at Sorbonne University.
Who: Carola Doerr
When: Until 2024-09-14 18:00
Presented at next GECCO?: no
post-doc: Postdoc on Applied AI (Machine Learning and Evolutionary Computation)
Where: University of Technology Sydney,
AustraliaWhat: University of Technology Sydney (UTS) is hosting a Marie Skłodowska Curie Actions (MSCA) Postdoctoral Global Fellows.
Prof. Gandomi would be happy to supervise an applicant who has a strong CV and a competitive proposal in Applied AI, including Machine Learning and Evolutionary Computation. UTS is the #1 young university in Australia based on both QS and THE rankings, and is ranked 3rd globally in AI based on US News.
The MSCA Postdoc Global Fellowship covers salary/living costs, research and travel expenses, and family and special needs allowances, if applicable. Noted, only nationals or long-term residents of the EU Member States or Horizon Europe Associated Countries can apply for the global scheme.
Who: Amir H Gandomi
When: Until 2024-09-10 10:00
Presented at next GECCO?: yes
PhD: Applied AI for Data Analytics and Optimisation
Where: University of Technology Sydney,
AustraliaWhat: Call for PhD applications in Applied AI:
We are currently accepting applications for international PhD scholarship candidates at the University of Technology Sydney – City campus. We have a healthy number of competitive awards for 2023; for now, it is for RS1 (closing date 31st July 2023, start dates from January 2023). If you have a competitive CV with high-quality publications, and also working on the application of machine learning, data analytics, evolutionary computation, or optimization, particularly in medical, biomedical, construction, water management, structural health monitoring, and civil infrastructure, I invite you to email your CV to me at gandomi at uts.edu.au using your academic email. Please include "PhD applicant in Applied AI" in the subject line.
University of Technology Sydney is ranked 3rd worldwide for AI, according to U.S. News.
Who: https://profiles.uts.edu.au/amirhossein.gandomi
When: Until 2024-10-30 09:00
Presented at next GECCO?: yes
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