Investigador(a) Postdoc - Cybersecurity and Machine Learning

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.

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.

Investigador(a) Postdoc - Cybersecurity and Machine Learning

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📌 Investigador(a) Postdoc - Cybersecurity and Machine Learning (Centro)
🏢 Tecnológico de Monterrey
📍 Centro