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PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.

Student Assistant in QA for Automatization Project

Would you like to be part of an exciting automatization project within Quality Assurance and interact with dedicated professionals from different backgrounds?

Are you ready to apply your IT skills to a company project? Would you like to develop yourself as a professional within the Pharma industry?

Then, you may be our new colleague within the Global Quality organization.

Group Loyalty Project Manager

Er du en stærk kommerciel profil med flere års erfaring fra kundeklub og udvikling af loyalitetsprogrammer?

Det bliver din kerneopgave at sikre fortsat positiv udvikling i kundetilfredshed- og loyalitet, og dermed sikre en værdiskabende vækst i vores loyalitetsprogram.

Herudover byder jobbet på muligheden for at sætte dit aftryk i en nyoprettet stilling, hvor vi er ultraambitiøse.

PhD Scholarships (2) in Cyber-Security and Cyber-Deception – DTU Compute

The two positions are part of the project Loki: Situational aware collaborative bio-inspired cyber-deception.

This project, inspired by Norse mythology, with Loki being a shape-shifter god and a master of trickery, aims at redefining and evolving the emerging field of cyber-deception. Here, we attempt to deceive attackers by creating fake vulnerable systems that are aware of their surroundings and are constantly shifting.

The project takes inspiration from nature (e.g., from the mimicry phenomenon) to synthesize sophisticated deception.

PhD scholarship in Cryptography – DTU Compute

We are looking for a bright, ambitious, and motivated PhD student to join the cryptography group in the Cybersecurity Engineering Section.

The goal of the PhD project is to improve the state of threshold post-quantum cryptography.

Your main task will be to design new threshold cryptographic algorithms with post-quantum security.

Data Scientist til full-stack udvikling af algoritmer, ML-modeller og NLP

Vil du arbejde med alt fra simple algoritmer til avancerede AI-modeller? Kan du dykke dybt i data? Og har du styr på SQL, Python og statistiske modeller? Så er du den full-stack Data Scientist, vi søger til vores NLP-team.

I Fraud Detection & AI Solutions sikrer vi bl.a. en koordineret indsats, når det drejer sig om kontrol af fejludbetalinger og snyd med offentlige ydelser. Og vi arbejder med effektivisering af forretningens processer ved brug af teknologier som NLP, LLM, Computer vision og GenAI.

Senior Data Scientist (f/m/d)

As a Senior Data Scientist at B&K Vibro you will be responsible for the data processing and state-of-the-art model development of our centralized cloud-based solution for predictive maintenance of industrial assets (BKV Beyond Platform).

Your mission:

• Develop and implement sophisticated machine learning/deep learning models for condition monitoring, predictive maintenance, and anomaly detection in industrial machinery and systems.
• Extend and maintain the value of B&K Vibro’s predictive maintenance cloud-based system (BKV Beyond platform).
• Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to ensure the successful deployment and scaling of data science solutions.

Postdoctoral positions in Sustainability, Genomics, Microbiology, and Bioinformatics/Data Science - DTU Biosustain

DTU Biosustain is actively seeking candidates for postdoctoral roles in fields such as sustainability, genomics, microbiology, and bioinformatics/data science.

We welcome applications from researchers in these or related fields, especially those focusing on large-scale data integration using advanced technologies (e.g., long-read, single-cell, microscopy, metabolic) for sustainable food and agricultural production.