Postdoctoral Researcher - Neural Architecture Search and Machine Learning

Aimlroles; Atizapán de Zaragoza; On-site; MXN 558,000 - 837,000; Full time

Job summary

Tecnológico de Monterrey is seeking a Postdoctoral Researcher in the AI group within the School of Engineering and Sciences. You will design multi-objective NAS methods to automate DNN design, balancing accuracy with resource constraints, and collaborate with a multidisciplinary team.

You will work on image restoration as a case study, publish in high-impact venues, and supervise student projects. The role is full-time for 1 year with possible extension, starting September 2026, in Monterrey,

Qualifications

• PhD in Computing or a closely related scientific field.
• Proven research track record in machine learning or multi-objective optimisation.
• Experience in Neural Architecture Search, Deep Learning, Transfer Learning, or Natural Language Processing.
• Strong publication record and the drive to innovate and make visible contributions in the field of ML, NAS, and NLP.
• Excellent organisational and communication skills, written and verbal, in both Spanish and English.
• Previous postdoctoral experience (an advantage, but not a must).
• Previous teaching experience and supervision of undergraduate or PhD student projects (a beneficial asset).

Responsibilities

• Design and develop multi-objective Neural Architecture Search methods that automate the design of Deep Neural Networks.
• Combine evolutionary-based global search with domain-driven local search, integrating machine learning and knowledge-based reasoning to predict compliance with multiple objectives.
• Investigate formalisms to represent the DNN search space so that search is driven toward architectures that are objective-compliant, novel, and inspiring.
• Validate the approach on Image Restoration tasks, balancing performance and robustness against limited computing resources.
• Collaborate with a multidisciplinary research team and contribute to the supervision of undergraduate and graduate student projects.
• Publish research findings in high-impact journals and conferences.

Skills

Neural Architecture Search

Deep Learning

Transfer Learning

NLP

Education

PhD in Computing

Job description

Postdoctoral Researcher – Neural Architecture Search and Machine Learning

Disruption is the new normal, and at Tecnológico de Monterrey, every morning we wake up with the responsibility of transforming our surroundings. Our processes are people-centered, ensuring extraordinary experiences through our talent and the innovative Educational Model. Here, you’ll find your purpose, seize innovative opportunities, and be part of a collaborative culture based on inclusion, meritocracy, and respect.

What will you do?

We are seeking a highly motivated Postdoctoral Researcher to join the Research Group in Artificial Intelligence at the School of Engineering and Sciences, working in close collaboration with Prof. Raúl Monroy. The project develops a multi-objective Neural Architecture Search (NAS) approach to automate the design of Deep Neural Networks, combining evolutionary-based global search with domain-driven local search, machine learning, and knowledge-based reasoning. Image Restoration is used as the case study, given its relevance in security, medical imaging, and other settings where accuracy must be balanced against limited CPU power and memory storage. This is a full-time position for one year, with possible extension to a second year depending on performance, starting September 2026.

Your main challenges will be:

• Design and develop multi-objective Neural Architecture Search methods that automate the design of Deep Neural Networks.
• Combine evolutionary-based global search with domain-driven local search, integrating machine learning and knowledge-based reasoning to predict compliance with multiple objectives.
• Investigate formalisms to represent the DNN search space so that search is driven toward architectures that are objective-compliant, novel, and inspiring.
• Validate the approach on Image Restoration tasks, balancing performance and robustness against limited computing resources.
• Collaborate with a multidisciplinary research team and contribute to the supervision of undergraduate and graduate student projects.
• Publish research findings in high-impact journals and conferences.

What are we looking for?

• PhD in Computing or a closely related scientific field.
• Proven research track record in machine learning or multi-objective optimisation.
• Experience in Neural Architecture Search, Deep Learning, Transfer Learning, or Natural Language Processing.
• Strong publication record and the drive to innovate and make visible contributions in the field of ML, NAS, and NLP.
• Excellent organisational and communication skills, written and verbal, in both Spanish and English.
• Previous postdoctoral experience (an advantage, but not a must).
• Previous teaching experience and supervision of undergraduate or PhD student projects (a beneficial asset).

Why work with us?

Our talent is the driving force behind our success. Their talent, dedication, and passion are the fundamental pillars of our organization. That’s why we focus on offering quality benefits that promote emotional balance, financial well-being, and professional development.

Contact

Karen Aguayo
Email: [e-mail]

At Tecnológico de Monterrey, we operate under the principle of equal opportunities. Therefore, we do not discriminate based on age, ethnicity, nationality, gender, sexual orientation, marital status, social condition, health status, religious beliefs, political doctrine, or disability.