Investigador(a) Postdoc - Cybersecurity and Machine Learning
At a glance
Mid-level AI Research role at Tecnológico de Monterrey. Zapopan.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine-learning and deep-learning models to identify threats such as network attacks, ransomware and botnets
- Prepare network data, create useful model inputs, and assess performance across structured and unstructured sources
- Turn the models into a working prototype and test it in an operational setting
- Work with cybersecurity and machine-learning specialists, then publish findings in research papers and conference proceedings
What you bring
- A doctorate in computer science, cybersecurity, data science or a closely related discipline
- Strong machine-learning knowledge, including deep learning and supervised and unsupervised approaches
- Hands-on Python and machine-learning framework experience, plus cybersecurity work developing attack-identification models
- Experience applying security tools and network monitoring in machine-learning workflows, along with a strong publication record and written English
Who this fits
This postdoctoral research role suits someone who can combine cybersecurity practice with machine-learning research and build models for realistic settings. You should be ready to publish research and provide a CV, publication list, research statement, referee contacts, a representative paper and your potential start date.
From the employer
Postdoctoral Researcher – Cybersecurity 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 a project focused on the development of advanced IA models(machine learning, deep learning and generative IA) for cybersecurity threats detection such as malware, network intrusion detection, disinformation detection, etc. The project aims to design, implement, and validate intelligent cybersecurity solutions capable of operating in realistic environments, with the goal of achieving a working prototype.
Your main challenges will be:
Design and develop machine learning and deep learning models for detecting cybersecurity threats such as network attacks, ransomware, botnets, etc.
Work with structured and unstructured network data (e.g., NetFlow, pcaps packet captures, logs).
Implement data preprocessing pipelines, feature engineering, and model evaluation frameworks
Build and validate a functional prototype in an operational environment.
Collaborate with multidisciplinary teams, including cybersecurity and machine learning experts
Publish research findings in several papers of high-impact journals and conferences
What are we looking for?
PhD in Computer Science, Cybersecurity, Data Science, or a closely related field
Strong background in machine learning (including deep learning), particularly supervised and unsupervised methods
Proven experience with Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
The candidate should have experience working in cybersecurity fields, developing AI models for attack identification and mitigation in simulated networks and real environments.
Familiarity with network security, monitoring, Datasets and security tools (e.g., Zeek, Caldera, Suricata, Snort, Wireshark) and their integration into ML pipelines.
Solid understanding of cybersecurity concepts (e.g., intrusion detection systems, threat models, attack vectors)
Ability to develop functional prototypes and deploy ML models in realistic environments
Strong scientific writing and publication record
Strong written and reading English skills
Application requirements:
- Detailed CV, list of publications, awards and recognitions, and potential start date.
- Short statement of previous work, research interests and his/her future vision on the field.
- Names and contact information of three referees.- PDF of a recent publication considered by the candidate as being representative of his/her research work.
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 Ortiz Salcedo Email: karen.ortiz@tec.mx
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.
Thank you for your interest in our job openings. If you are not contacted by the Talent Attraction team, we invite you to continue exploring new opportunities on the Growth Opportunities portal if you are a TEC collaborator. If you are an external candidate, visit jobs.tec.mx and apply to positions that match your profile.
https://tec.mx/es/profesores/unete
https://academicjobs.tec.mx/es
LinkedIn: Tecnológico de Monterrey