PhD Candidate in Advance Machine Learning towards Generalized Face Presentation Attack Detection job with NORWEGIAN UNIVERSITY OF SCIENCE &…
About the position
This PhD project is in line with the research activities performed at the Department of Information Security and Communication Technology (IIK) and is closely linked to the Innovation Project for the Industrial Sector named SALT - Secure privacy preserving Authentication using faciaL biometrics to proTect your identity sponsored from Norwegian Research Council, Norway.
The objective of the project is to create the next generation face authentication services with strong presentation attack detection and privacy-preserving techniques.
The PhD candidates will have the opportunity to collaborate with researchers in this project consortia and can benefit from the research and collaborative training activities together with leading biometrics start-up Mobai AS and leading financial companies such as Vipps, BankID and SpareBank 1.
The position reports Head of Department.
Duties of the position
Required selection criteria
The qualification requirement is that you have completed a masters degree or second degree (equivalent to 120 credits) with a strong academic background in Computer Science or equivalent education with a grade of B or better in terms ofNTNUs grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.
In addition, the candidate must have:
The appointment is to be made in accordance with Regulations concerning the degrees ofPhilosophiaeDoctor (PhD)andPhilosodophiaeDoctor (PhD) in artistic researchnational guidelines for appointment as PhD, post doctor and research assistant
Preferred selection criteria
Personal characteristics
We offer
Salary and conditions
PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 491 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 3 years.
Appointment to a PhD position requires that you are admitted to thePhD programme inInformation Security and Communication Technologywithin three months of employment, and that you participate in an organized PhD programme during the employment period.
The engagement is to be made in accordance with the regulations in force concerningState Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
It is a prerequisite you can be present at and accessible to the institution daily.
About the application
Applicants must upload the following documents within the closing date:
Please submit your application electronically via Jobbnorge website. The application and supporting documentation to be used as the basis for the assessment must be in English. Applications submitted elsewhere/incomplete applications will not be considered.
NTNU is committed to following evaluation criteria for research quality according toThe San Francisco Declaration on Research Assessment - DORA.
General information
Working at NTNU
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background.
The city of Gjvikhas a population of 30 000 and is a town known for its rich music and cultural life. The beautiful nature surrounding the city is ideal for an active outdoor life! The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world.
As an employeeatNTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.
If you have any questions about the position, please contact email:raghavendra.ramachandra@ntnu.no. If you have any questions about the recruitment process, please contact Katrine Rennan, e-mail:Katrine.rennan@ntnu.no.
Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma fromChina Credentials Verification (CHSI).
If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2022/22061 when applying.
Application deadline: 15.08.2022
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
Department of Information Security and Communication Technology
Research is vital to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics, cyber defence, cryptography, digital forensics, security in e-health and welfare technology, intelligent transportation systems and malware. The Department of Information Security and Communication Technology is one of seven departments in theFaculty of Information Technology and Electrical Engineering.
Deadline15th August 2022EmployerNTNU - Norwegian University of Science and TechnologyMunicipalityGjvikScopeFulltimeDuration TemporaryPlace of service Campus Gjvik
- Exploring LLMs with MLX and the Neural Accelerators in the M5 GPU - Apple Machine Learning Research - November 23rd, 2025 [November 23rd, 2025]
- Machine learning model for HBsAg seroclearance after 48-week pegylated interferon therapy in inactive HBsAg carriers: a retrospective study - Virology... - November 23rd, 2025 [November 23rd, 2025]
- IIT Madras Free Machine Learning Course 2026: What to know - Times of India - November 23rd, 2025 [November 23rd, 2025]
- Towards a Better Evaluation of 3D CVML Algorithms: Immersive Debugging of a Localization Model - Apple Machine Learning Research - November 23rd, 2025 [November 23rd, 2025]
- A machine-learning powered liquid biopsy predicts response to paclitaxel plus ramucirumab in advanced gastric cancer: results from the prospective IVY... - November 23rd, 2025 [November 23rd, 2025]
- Monitoring for early prediction of gram-negative bacteremia using machine learning and hematological data in the emergency department - Nature - November 23rd, 2025 [November 23rd, 2025]
- Development and validation of an interpretable machine learning model for osteoporosis prediction using routine blood tests: a retrospective cohort... - November 23rd, 2025 [November 23rd, 2025]
- Snowflake Supercharges Machine Learning for Enterprises with Native Integration of NVIDIA CUDA-X Libraries - Snowflake - November 23rd, 2025 [November 23rd, 2025]
- Rethinking Revenue: How AI and Machine Learning Are Unlocking Hidden Value in the Post-Booking Space - Aviation Week Network - November 23rd, 2025 [November 23rd, 2025]
- Machine Learning Prediction of Material Properties Improves with Phonon-Informed Datasets - Quantum Zeitgeist - November 23rd, 2025 [November 23rd, 2025]
- A predictive model for the treatment outcomes of patients with secondary mitral regurgitation based on machine learning and model interpretation - BMC... - November 23rd, 2025 [November 23rd, 2025]
- Mobvista (1860.HK) Delivers Solid Revenue Growth in Q3 2025 as Mintegral Strengthens Its AI and Machine Learning Technology - Business Wire - November 23rd, 2025 [November 23rd, 2025]
- Machine learning beats classical method in predicting cosmic ray radiation near Earth - Phys.org - November 23rd, 2025 [November 23rd, 2025]
- Top Ways AI and Machine Learning Are Revolutionizing Industries in 2025 - nerdbot - November 23rd, 2025 [November 23rd, 2025]
- Snowflake Supercharges Machine Learning for Enterprises with Native Integration of NVIDIA CUDA-X Libraries - Yahoo Finance - November 18th, 2025 [November 18th, 2025]
- An interpretable machine learning model for predicting 5year survival in breast cancer based on integration of proteomics and clinical data -... - November 18th, 2025 [November 18th, 2025]
- scMFF: a machine learning framework with multiple feature fusion strategies for cell type identification - BMC Bioinformatics - November 18th, 2025 [November 18th, 2025]
- URI professor examines how machine learning can help with depression diagnosis Rhody Today - The University of Rhode Island - November 18th, 2025 [November 18th, 2025]
- Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties - Nature - November 18th, 2025 [November 18th, 2025]
- Relationship between C-reactive protein triglyceride glucose index and cardiovascular disease risk: a cross-sectional analysis with machine learning -... - November 18th, 2025 [November 18th, 2025]
- Using machine learning to predict student outcomes for early intervention and formative assessment - Nature - November 18th, 2025 [November 18th, 2025]
- Prevalence, associated factors, and machine learning-based prediction of probable depression among individuals with chronic diseases in Bangladesh -... - November 18th, 2025 [November 18th, 2025]
- Snowflake supercharges machine learning for enterprises with native integration of Nvidia CUDA-X libraries - MarketScreener - November 18th, 2025 [November 18th, 2025]
- Unlocking Cardiovascular Disease Insights Through Machine Learning - BIOENGINEER.ORG - November 18th, 2025 [November 18th, 2025]
- Machine learning boosts solar forecasts in diverse climates of India - researchmatters.in - November 18th, 2025 [November 18th, 2025]
- Big Data Machine Learning In Telecom Market by Type and Application Set for 14.8% CAGR Growth Through 2033 - openPR.com - November 18th, 2025 [November 18th, 2025]
- How Humans Could Soon Understand and Talk to Animals, Thanks to Machine Learning - SYFY - November 10th, 2025 [November 10th, 2025]
- Machine learning based analysis of diesel engine performance using FeO nanoadditive in sterculia foetida biodiesel blend - Nature - November 10th, 2025 [November 10th, 2025]
- Machine Learning in Maternal Care - Johns Hopkins Bloomberg School of Public Health - November 10th, 2025 [November 10th, 2025]
- Machine learning-based differentiation of benign and malignant adrenal lesions using 18F-FDG PET/CT: a two-stage classification and SHAP... - November 10th, 2025 [November 10th, 2025]
- How to Better Use AI and Machine Learning in Dermatology, With Renata Block, MMS, PA-C - HCPLive - November 10th, 2025 [November 10th, 2025]
- Avoiding Catastrophe: The Importance of Privacy when Leveraging AI and Machine Learning for Disaster Management - CSIS | Center for Strategic and... - November 10th, 2025 [November 10th, 2025]
- Efferocytosis-related signatures identified via Single-cell analysis and machine learning predict TNBC outcomes and immunotherapy response - Nature - November 10th, 2025 [November 10th, 2025]
- Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins - PC Gamer - November 3rd, 2025 [November 3rd, 2025]
- From performance to prediction: extracting aging data from the effects of base load aging on washing machines for a machine learning model - Nature - November 3rd, 2025 [November 3rd, 2025]
- Meet 'kvcached': A Machine Learning Library to Enable Virtualized, Elastic KV Cache for LLM Serving on Shared GPUs - MarkTechPost - October 28th, 2025 [October 28th, 2025]
- Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China - Nature - October 28th, 2025 [October 28th, 2025]
- Using machine learning to shed light on how well the triage systems work - News-Medical - October 28th, 2025 [October 28th, 2025]
- Our Last Hope Before The AI Bubble Detonates: Taming LLMs - Machine Learning Week US - October 28th, 2025 [October 28th, 2025]
- Using multiple machine learning algorithms to predict spinal cord injury in patients with cervical spondylosis: a multicenter study - Nature - October 28th, 2025 [October 28th, 2025]
- The diagnostic potential of proteomics and machine learning in Lyme neuroborreliosis - Nature - October 28th, 2025 [October 28th, 2025]
- Using unsupervised machine learning methods to cluster cardio-metabolic profile of the middle-aged and elderly Chinese with general and central... - October 28th, 2025 [October 28th, 2025]
- The prognostic value of POD24 for multiple myeloma: a comprehensive analysis based on traditional statistics and machine learning - BMC Cancer - October 28th, 2025 [October 28th, 2025]
- Reducing inequalities using an unbiased machine learning approach to identify births with the highest risk of preventable neonatal deaths - Population... - October 28th, 2025 [October 28th, 2025]
- Association between SHR and mortality in critically ill patients with CVD: a retrospective analysis and machine learning approach - Diabetology &... - October 28th, 2025 [October 28th, 2025]
- AI-Powered Visual Storytelling: How Machine Learning Transforms Creative Content Production - About Chromebooks - October 28th, 2025 [October 28th, 2025]
- How beauty brand Shiseido nearly tripled revenue per user with machine learning - Performance Marketing World - October 28th, 2025 [October 28th, 2025]
- Magnite introduces machine learning-powered ad podding for streaming platforms - PPC Land - October 26th, 2025 [October 26th, 2025]
- Krafton is an AI first company and will invest 70M USD on machine learning - Female First - October 26th, 2025 [October 26th, 2025]
- Machine learning prediction of bacterial optimal growth temperature from protein domain signatures reveals thermoadaptation mechanisms - BMC Genomics - October 24th, 2025 [October 24th, 2025]
- Data Proportionality and Its Impact on Machine Learning Predictions of Ground Granulated Blast Furnace Slag Concrete Strength | Newswise - Newswise - October 24th, 2025 [October 24th, 2025]
- The Evolution of Machine Learning and Its Applications in Orthopaedics: A Bibliometric Analysis - Cureus - October 24th, 2025 [October 24th, 2025]
- Sentiment Analysis with Machine Learning Achieves 83.48% Accuracy in Predicting Consumer Behavior Trends - Quantum Zeitgeist - October 24th, 2025 [October 24th, 2025]
- Use of machine learning for risk stratification of chest pain patients in the emergency department - BMC Medical Informatics and Decision Making - October 24th, 2025 [October 24th, 2025]
- Mass spectrometry combined with machine learning identifies novel protein signatures as demonstrated with multisystem inflammatory syndrome in... - October 24th, 2025 [October 24th, 2025]
- How Machine Learning Is Shrinking to Fit the Sensor Node - All About Circuits - October 24th, 2025 [October 24th, 2025]
- Machine learning models for mechanical properties prediction of basalt fiber-reinforced concrete incorporating graphical user interface - Nature - October 24th, 2025 [October 24th, 2025]
- Ohio wins national cybersecurity award for fraud solutions using machine learning - Spectrum News NY1 - October 24th, 2025 [October 24th, 2025]
- Itron Partners with Gordian Technologies to Enhance Grid Edge Intelligence with AI and Machine Learning Solutions - Quiver Quantitative - October 24th, 2025 [October 24th, 2025]
- Wearable sensors and machine learning give leg up on better running data - Medical Xpress - October 23rd, 2025 [October 23rd, 2025]
- Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization - Phys.org - October 23rd, 2025 [October 23rd, 2025]
- Ohio wins national cybersecurity award for fraud solutions using machine learning - Spectrum News 1 - October 23rd, 2025 [October 23rd, 2025]
- Machine learning predictions of climate change effects on nearly threatened bird species ( Crithagra xantholaema) habitat in Ethiopia for conservation... - October 23rd, 2025 [October 23rd, 2025]
- A machine learning tool for predicting newly diagnosed osteoporosis in primary healthcare in the Stockholm Region - Nature - October 23rd, 2025 [October 23rd, 2025]
- ECBs New Perspective on Machine Learning in Banking - KPMG - October 23rd, 2025 [October 23rd, 2025]
- Ensemble Machine Learning for Digital Mapping of Soil pH and Electrical Conductivity in the Andean Agroecosystem of Peru - Frontiers - October 21st, 2025 [October 21st, 2025]
- New UA research develops machine learning to address needs of children with autism - AZPM News - October 21st, 2025 [October 21st, 2025]
- NMDSI Speaker Series on Weather Forecasting: What Machine Learning Can and Can't Do, Oct. 23 - Marquette Today - October 21st, 2025 [October 21st, 2025]
- Polyskill Achieves 1.7x Improved Skill Reuse and 9.4% Higher Success Rates through Polymorphic Abstraction in Machine Learning - Quantum Zeitgeist - October 21st, 2025 [October 21st, 2025]
- University of Strathclyde opens admission for MSc in Machine & Deep Learning for Jan 2026 intake - The Indian Express - October 21st, 2025 [October 21st, 2025]
- Reducing Model Biases with Machine Learning Corrections Derived from Ocean Data Assimilation Increments - ESS Open Archive - October 19th, 2025 [October 19th, 2025]
- Unlocking Obesity: Multi-Omics and Machine Learning Insights - Bioengineer.org - October 19th, 2025 [October 19th, 2025]
- Lockheed Martin advances PAC-3 MSE interceptor using artificial intelligence and machine learning - Defence Industry Europe - October 19th, 2025 [October 19th, 2025]
- Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models - Nature - October 19th, 2025 [October 19th, 2025]
- AI and Machine Learning - City of San Jos to release RFP for generative AI platform - Smart Cities World - October 19th, 2025 [October 19th, 2025]
- Machine learning helps identify 'thermal switch' for next-generation nanomaterials - Phys.org - October 17th, 2025 [October 17th, 2025]
- Machine Learning Makes Wildlife Data Analysis Less of a Trek - Maryland.gov - October 17th, 2025 [October 17th, 2025]
- An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios - BMC Endocrine Disorders - October 17th, 2025 [October 17th, 2025]
- In First-Episode Psychosis Patients, Machine Learning Predicted Illness Trajectories to Potentially Improve Outcomes - Brain and Behavior Research - October 17th, 2025 [October 17th, 2025]
- Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes - The American Journal of Managed Care (AJMC) - October 17th, 2025 [October 17th, 2025]