Norway

PhD in Responsible AI & Healthcare Innovation 2026 in Norway

TT
Taiba Tahir
April 21, 2026 (Updated April 21, 2026) 2 min read

Table of Contents

Join Our WhatsApp Channel
Get instant updates and latest alerts
Stay Updated!
Get notified when we Publish PhD Positions
Subscribe

The PhD Candidate in Responsible Innovation and Social Knowledge in Artificial Intelligence at Norwegian University of Science and Technology is a fully funded doctoral opportunity focused on the real-world impact, risks, and governance of AI in healthcare systems across Europe.

Overview

  • Host Institution: Norwegian University of Science and Technology

  • Location: Trondheim

  • Department: Computer Science

  • Supervisor: Associate Professor Casandra Grundstrom

  • Funding: NOK 550,800/year (~fully funded salary)

  • Duration: 3 years (possible 4 years with teaching duties)

  • Deadline: May 14–15, 2026

Research Focus

This PhD explores how healthcare organizations manage the risks of scaling AI technologies—from pilot projects to full implementation.

Key themes include:

  • Responsible AI (ethics, fairness, transparency, accountability)

  • Risk governance in healthcare AI systems

  • Impact of regulations like the EU AI Act

  • Sociotechnical interactions between AI systems, users, and clinical environments

The project is part of the RISK-AI (NordForsk) initiative, involving collaboration across Nordic and Baltic countries.

What You’ll Do

  • Conduct high-quality research on AI risk and governance

  • Work with international partners across Europe

  • Participate in workshops, conferences, and research visits

  • Publish academic papers

  • Contribute to interdisciplinary collaboration (tech + policy + healthcare)

Eligibility Criteria

To apply, you must:

  • Hold a Master’s degree in:

    • Information Systems, Computer Science, or related interdisciplinary fields (e.g., law, healthcare, AI)

  • Meet PhD admission requirements (equivalent to a 5-year degree structure)

  • Have strong academic performance (typically B grade or above)

  • Demonstrate:

    • Knowledge of sociotechnical systems

    • Experience in qualitative research methods

  • Provide excellent English proficiency

Preferred:

  • Experience in interdisciplinary research

  • Knowledge of Scandinavian languages (advantage, not mandatory)

Required Documents

Prepare the following:

  • Academic transcripts & diplomas

  • CV

  • Master’s thesis (or draft)

  • Research proposal (max 1500 words)

  • Motivation letter (max 400 words)

  • AI usage declaration (for your proposal)

  • Publications (if any)

  • 3 referees

Benefits

  • Competitive fully funded salary (NOK 550,800/year)

  • Access to world-class research environment

  • Career development and academic mentorship

  • International collaboration opportunities

  • Free Norwegian language training

  • Pension, healthcare, and social benefits under Norway’s welfare system

Why This PhD Stands Out

Unlike purely technical AI programs, this position focuses on the real-world risks and governance of AI, especially in healthcare—one of the most sensitive and regulated sectors. You’ll work at the intersection of:

  • Technology

  • Ethics

  • Law

  • Society

This makes it ideal if you’re interested in Responsible AI, policy, and societal impact, not just coding.

How to Apply

  1. Prepare all required documents

  2. Write a strong research proposal aligned with AI governance in healthcare

  3. Submit your application via the official NTNU portal

  4. Shortlisted candidates will be invited for interviews

TT
Written by Taiba Tahir Published on April 21, 2026
Netherlands

PhD Position in Electrical Engineering at Eindhoven University of Technology

🏛️ Eindhoven University of Technology 📍 Netherlands 📚 Engineering Open · 27 days left (Deadline: June 21, 2026)
TT
Taiba Tahir
May 26, 2026 (Updated May 25, 2026) 4 min read

Table of Contents

Join Our WhatsApp Channel
Get instant updates and latest alerts
Stay Updated!
Get notified when we Publish PhD Positions
Subscribe

Host University: Eindhoven University of Technology (TU/e)
Department: Department of Electrical Engineering
Location: Eindhoven, Netherlands
Scholarship Type: Fully Funded PhD Position
Salary: €3,059 – €3,881 per month
Application Deadline: 21 June 2026
Study Level: PhD

Applications are now open for the PhD on Emulation Framework for Self-Aware Neuromorphic System-on-Chip Architectures 2026 at Eindhoven University of Technology (TU/e) in the Netherlands. This exciting PhD opportunity is part of the prestigious REACT Marie Skłodowska-Curie Actions (MSCA) Doctoral Network. The fully funded PhD position is designed for highly motivated international students who are passionate about neuromorphic computing, artificial intelligence hardware, embedded systems, and compute-in-memory architectures.

This PhD project focuses on developing advanced FPGA-based emulation frameworks for next-generation neuromorphic system-on-chip (SoC) architectures. Inspired by the human brain, neuromorphic computing enables ultra-low-power intelligent systems through event-driven computation and on-chip learning. The research aims to solve major challenges related to power consumption, latency, and memory bandwidth while supporting secure and energy-efficient AI acceleration for future edge-intelligent systems.

The Eindhoven University of Technology PhD program provides researchers with an opportunity to work in a highly innovative environment within Brainport Eindhoven, one of Europe’s leading technology hubs. PhD researchers will collaborate with interdisciplinary experts in artificial intelligence, integrated circuit design, computer architecture, and embedded systems engineering.

More Details About the TU/e PhD Position 2026

  • Host University: Eindhoven University of Technology (TU/e)

  • Department: Electrical Engineering

  • Country: Netherlands

  • Program Type: Fully Funded PhD

  • Research Area: Neuromorphic Computing and Compute-in-Memory Architectures

  • Employment Type: Full-time (1.0 FTE)

  • Duration: 4 Years

  • Monthly Salary: €3,059 – €3,881

  • Supervisor: Dr. Manil Dev Gomony

  • Deadline: 21 June 2026

Research Objectives

The selected PhD candidate will work on several cutting-edge research objectives, including:

  • Developing FPGA-based emulation and prototyping frameworks for neuromorphic SoC architectures.

  • Designing energy-efficient and scalable compute-in-memory (CiM) systems.

  • Investigating secure AI acceleration and side-channel resistant neuromorphic systems.

  • Implementing and benchmarking hardware architectures using simulation and prototype platforms.

  • Exploring adaptive processing mechanisms for next-generation embedded and edge AI systems.

  • Collaborating with interdisciplinary teams across AI, computer architecture, circuit design, and embedded systems.

Eligibility Criteria

Interested applicants must meet the following eligibility requirements for the Eindhoven University of Technology PhD position:

  • Applicants must hold a Master’s degree in Electrical Engineering or a related field.

  • Candidates should have excellent academic results.

  • Applicants must have knowledge of Digital or Mixed-Signal IC Design and Computer Architecture.

  • Strong programming and scripting skills in HDL languages such as Verilog or VHDL, along with Python or TCL, are required.

  • Experience with commercial EDA tools such as Cadence or Mentor Graphics is preferred.

  • Knowledge of neuromorphic architectures and low-power IC design will be an advantage.

  • Applicants must demonstrate strong research, analytical, and problem-solving skills.

  • Candidates should be able to work in interdisciplinary research teams.

  • Applicants must have English language proficiency at C1 level.

  • Candidates must not have resided or worked in the Netherlands for more than 12 months during the last 3 years before recruitment.

  • Applicants must not already possess a doctoral degree at the time of recruitment.

Benefits of the TU/e PhD in Netherlands 2026

The Eindhoven University of Technology offers excellent financial and professional benefits to selected PhD candidates.

Financial Benefits

  • Monthly salary ranging from €3,059 to €3,881.

  • Annual vacation allowance of 8%.

  • Year-end bonus of 8.3%.

  • Pension scheme and social benefits.

  • Paid maternity and parental leave.

  • Commuting, internet, and work-from-home allowances.

  • Tax compensation scheme (30% facility) for international candidates.

Academic and Professional Benefits

  • Opportunity to work in a leading international research university.

  • Access to state-of-the-art laboratories and research facilities.

  • Participation in the prestigious REACT MSCA Doctoral Network.

  • Collaboration with world-class researchers and industry experts.

  • Professional development and high-quality training programs.

  • Opportunity to gain teaching and mentoring experience.

  • International research exposure in one of Europe’s top technology regions.

Required Documents

Applicants must prepare the following documents before applying:

  • Cover Letter explaining motivation for applying (maximum one page)

  • Detailed Curriculum Vitae (CV)

  • List of publications (if applicable)

  • Official BSc and MSc degree certificates

  • Academic transcripts for all degrees

  • English language proficiency proof (if required)

Application Process

The application process for the Eindhoven University of Technology PhD position is online.

How to Apply?

  1. Visit the official TU/e application portal.

  2. Carefully review the eligibility criteria and project requirements.

  3. Prepare all required application documents.

  4. Submit your online application through the university portal.

  5. Applicants must also apply through the REACT project website.

  6. Ensure all documents are complete before submission.

  7. Applications submitted via email or post will not be accepted.

  8. Apply before the deadline to be considered for the position.

Application Deadline

The last date to apply for the PhD on Emulation Framework for Self-Aware Neuromorphic System-on-Chip Architectures 2026 at Eindhoven University of Technology is 21 June 2026.

Why Study at Eindhoven University of Technology?

Eindhoven University of Technology (TU/e) is one of Europe’s leading research universities known for innovation, engineering excellence, and industry collaboration. Located in Brainport Eindhoven, the university provides researchers with access to one of the world’s most advanced high-tech ecosystems. TU/e offers an inspiring international environment where students and researchers work together on cutting-edge technologies with real-world impact.

This fully funded PhD opportunity in the Netherlands is ideal for students interested in neuromorphic computing, artificial intelligence hardware, embedded systems, and energy-efficient computing technologies.

TT
Written by Taiba Tahir Published on May 26, 2026
UK

UCL Parkinson’s Disease PhD Studentship 2026 | UK

TT
Taiba Tahir
May 26, 2026 (Updated May 25, 2026) 5 min read

Table of Contents

Join Our WhatsApp Channel
Get instant updates and latest alerts
Stay Updated!
Get notified when we Publish PhD Positions
Subscribe

Are you interested in pursuing a fully funded PhD in neuroscience and genetics in the United Kingdom? The University College London (UCL) Parkinson’s Disease PhD Studentship 2026 is an excellent opportunity for students passionate about neurodegenerative disease research. This funded PhD project focuses on Parkinson’s disease, hereditary spastic paraplegia, multiple system atrophy, and repeat expansion disorders using advanced long-read sequencing technologies.

The UCL PhD studentship is offered by the Queen Square Institute of Neurology and provides funded doctoral research opportunities for highly motivated students in genetics, neuroscience, molecular biology, and related medical fields. In this article, you will find complete information about the UCL Parkinson’s Disease PhD Studentship 2026, including funding details, eligibility criteria, research objectives, required qualifications, and the application process.

About the UCL Parkinson’s Disease PhD Studentship

University College London (UCL) is offering a fully funded PhD studentship/fellowship focused on investigating Parkinson’s disease (PD), hereditary spastic paraplegia (HSP), multiple system atrophy (MSA), and repeat expansion disorders (RED).

The research project will use cutting-edge genomic technologies, including long-read DNA and RNA sequencing, to identify disease mechanisms and discover new disease-related genes associated with neurodegenerative disorders.

The PhD project is supervised by leading researchers:

  • Prof John Hardy

  • Prof Henry Houlden

  • Dr Zhongbo Chen

Students will work within the UCL Queen Square Institute of Neurology and the National Hospital for Neurology and Neurosurgery in London.

UCL Parkinson’s Disease PhD Studentship 2026 Summary

  • Host Institution: University College London (UCL)

  • Department: Queen Square Institute of Neurology

  • Study Destination: London, United Kingdom

  • Degree Level: PhD

  • Funding Type: Fully Funded Studentship

  • Research Area: Neuroscience, Genetics, Neurodegenerative Diseases

  • Program Duration: 3–4 Years Full-Time

  • Start Dates: September 2026 and June 2027

  • Application Deadline: May 31, 2026

Research Focus Areas

The PhD studentship focuses on understanding the genetic and molecular causes of neurodegenerative diseases.

Main Research Topics

  • Parkinson’s disease (PD)

  • Multiple system atrophy (MSA)

  • Hereditary spastic paraplegia (HSP)

  • Repeat expansion disorders (RED)

  • Neurodegeneration genetics

  • Long-read DNA and RNA sequencing

  • Exome and genome sequencing analysis

The research aims to identify new disease genes, uncover disease pathways, and improve understanding of neurodegenerative disorders.

Research Objectives and Techniques

The selected PhD candidate will participate in a wide range of laboratory and genomic research activities.

Major Aims of the Project

  1. Investigate Parkinson’s disease, multiple system atrophy, hereditary spastic paraplegias, and repeat expansion disorders using modern genomic techniques.

  2. Define genetically characterized and uncharacterized disease phenotypes.

  3. Re-analyze short-read exome and genome sequencing data.

  4. Conduct long-read DNA sequencing and genomic analysis in genetically unresolved families.

Laboratory and Research Techniques

Students will gain hands-on experience in:

  • DNA extraction

  • RNA extraction

  • Fragment analysis

  • Exome sequencing

  • Genome sequencing

  • Long-read sequencing technologies

  • Bioinformatics analysis

  • Human biological sample handling

  • Brain tissue research

UCL PhD Studentship Funding Benefits

The UCL Parkinson’s Disease PhD Studentship provides generous financial support for eligible students.

Funding Coverage

Selected students will receive:

  • Year 1 stipend: £23,180

  • Year 2 stipend: £24,223

  • Year 3 stipend: £24,952

  • Full UK home PhD tuition fee coverage for three years

  • Total funded tuition fees: £19,780

  • Access to world-class research facilities

  • Training in advanced genomic technologies

Additional Benefits

  • Opportunity to work with internationally recognized scientists

  • Access to UCL’s long-read sequencing facility

  • Research experience at a leading neuroscience institute

  • Exposure to clinical and translational neuroscience research

  • Networking opportunities with experts in neurodegenerative diseases

Eligibility Criteria for UCL Parkinson’s Disease PhD Studentship 2026

To qualify for this UCL PhD studentship, applicants must meet the following requirements.

Nationality and Fee Eligibility

  • The studentship is open only to UK home fee students.

  • Applicants must hold a UK passport or meet UK home fee eligibility requirements.

Academic Requirements

Applicants should have:

  • A biological sciences, medical, genetics, neuroscience, or related degree

  • A minimum 2:1 Honours BSc degree or equivalent

  • Preferably an MSc with genetics, epidemiology, or laboratory experience

  • Alternatively, an MD or MBBS degree may also be suitable

Preferred Experience

Ideal candidates may have experience in:

  • Human brain tissue research

  • Biological sample handling

  • Laboratory genetics

  • Molecular biology

  • Genomic sequencing

  • Epidemiology research

Personal Qualities

Applicants should be:

  • Highly motivated

  • Able to work independently and in teams

  • Interested in neuroscience and genetics research

  • Passionate about neurodegenerative disease studies

Study Location

The PhD research will take place at:

  • UCL Queen Square Institute of Neurology

  • National Hospital for Neurology and Neurosurgery

  • Queen Square, London WC1N 3BG

Why Study at UCL?

University College London is one of the world’s leading research universities and is internationally recognized for excellence in neuroscience and genetics.

Advantages of Studying at UCL

  • Access to cutting-edge genomic research facilities

  • Collaboration with world-leading neuroscientists

  • Strong research environment in neurodegenerative diseases

  • Clinical research opportunities

  • Internationally recognized degree and research training

  • Location in central London with access to global scientific networks

Application Process for UCL Parkinson’s Disease PhD Studentship 2026

Follow the steps below to apply for the UCL Parkinson’s Disease PhD Studentship.

Step 1: Prepare Application Documents

Applicants should prepare:

  • Updated Curriculum Vitae (CV)

  • Academic transcripts and certificates

  • Relevant supporting documents

Step 2: Write an Application Email

Interested candidates must send an email expressing interest in the PhD studentship.

Step 3: Submit Application

Send your CV and application by email to:

Step 4: Await Further Communication

Shortlisted candidates may be contacted for interviews or further discussions.

Important Funding Notes

  • Funding covers UK home tuition fees only.

  • The fourth year is classified as Completing Research Status.

  • Additional studentships may also become available annually.

Research References and Background

The project builds upon internationally recognized research conducted by Prof John Hardy’s team, including:

  • Discovery of the APP gene in Alzheimer’s disease

  • Research contributing to the development of the drug Lecanemab

  • Identification of the PSMF1 gene pathway in Parkinson’s disease

These discoveries have significantly advanced the understanding of neurodegenerative diseases and treatment pathways.

Tips for a Strong PhD Application

  • Highlight laboratory and genetics experience.

  • Demonstrate strong academic performance.

  • Show interest in neurodegenerative disease research.

  • Mention sequencing or bioinformatics skills if applicable.

  • Tailor your CV to neuroscience and genetics research.

  • Apply before the deadline.

UCL Parkinson’s Disease PhD Studentship Deadline 2026

The deadline to apply for the UCL Parkinson’s Disease PhD Studentship is:

  • May 31, 2026

Applicants are encouraged to submit applications early.

Official Website

To learn more about the UCL Parkinson’s Disease PhD Studentship and related research activities, visit the official UCL and UK Dementia Research Institute websites.

TT
Written by Taiba Tahir Published on May 26, 2026
Norway

PhD Research Fellow in Global Development and/or Planning

🏛️ University of Agder 📍 Norway 📚 Geography Open · 67 days left (Deadline: July 31, 2026)
TT
Taiba Tahir
May 22, 2026 (Updated May 22, 2026) 2 min read

Table of Contents

Join Our WhatsApp Channel
Get instant updates and latest alerts
Stay Updated!
Get notified when we Publish PhD Positions
Subscribe

University: University of Agder
Location: Kristiansand (Campus Kristiansand)
Department: Global Development and Planning
Supervisor: Arnhild Leer-Helgesen
Deadline: 1 August 2026
Salary: NOK 550,800/year

Position Overview

University of Agder is offering 1–3 PhD Research Fellow positions in the Department of Global Development and Planning for a 3-year (or 4-year with teaching duties) doctoral programme.

The position is interdisciplinary and focuses on global development, planning, and critical social sciences.

Research Themes

Applicants must align their PhD project with at least one of the following themes:

1. Contested Energy Transitions

Focuses on:

  • Low-carbon and renewable energy transitions

  • Conflicts over land use, governance, and justice

  • Power relations in energy infrastructure

  • Community participation and democratic decision-making

  • Environmental and social impacts of energy systems

2. Reimagining and Repoliticizing Planning

Focuses on:

  • Planning as a political (not neutral) process

  • Power structures in urban and regional planning

  • Smart cities, sustainability, and digitalization as political constructs

  • Role of media, art, and communication in planning

  • Marginalized communities and counter-hegemonic practices

3. Challenges and Alternatives in a Polarized World

Focuses on:

  • Inequality, climate crisis, conflict, and political polarization

  • Gendered and intersectional impacts of crises

  • Youth-driven social change in the Global South

  • Human rights, democracy, and resistance strategies

  • Alternative development pathways in crisis contexts

Eligibility Criteria

Applicants should have:

  • A Master’s degree (120 ECTS) in social sciences or related fields

  • Minimum grade B average or equivalent

  • Strong English language skills (written and spoken)

  • A strong and original PhD project proposal

Applicants in final stages of their Master’s degree may also apply (degree must be completed within 4 weeks after deadline).

Desired Qualifications

  • Research experience or academic publications

  • Teaching experience at university level (preferred)

  • Strong analytical skills

  • Ability to work independently and collaboratively

  • High academic motivation and engagement

  • Experience in research projects is an advantage

Personal Qualities

The university values candidates who are:

  • Independent and organized

  • Strong communicators

  • Collaborative and open-minded

  • Academically motivated and proactive

  • Interested in teaching and academic development

Employment Conditions

  • Full-time PhD position (3 years, extendable to 4 years with teaching duties)

  • Located at Campus Kristiansand

  • Salary: NOK 550,800 per year

  • Membership in the Norwegian Public Service Pension Fund

  • Inclusive and international working environment

  • Opportunities for professional development

Application Requirements

Applicants must submit:

  • Certificates and academic transcripts

  • Master’s thesis

  • CV and list of publications

  • References

  • Research project description (max 7 pages, including references)

  • Other relevant academic work

Application Process

Applications must be submitted electronically via the university portal before:

Deadline: 1 August 2026

Shortlisted candidates will be invited for interviews, and reference checks may be conducted.

Contact

Head of Department: Arnhild Leer-Helgesen
Email: arnhild.leer-helgesen@uia.no

TT
Written by Taiba Tahir Published on May 22, 2026
Germany

Research Associate Position in Contrastive Learning and GeoAI

🏛️ Technical University of Munich 📍 Germany 📚 Machine Learning Open · 67 days left (Deadline: July 31, 2026)
TT
Taiba Tahir
May 22, 2026 (Updated May 22, 2026) 2 min read

Table of Contents

Join Our WhatsApp Channel
Get instant updates and latest alerts
Stay Updated!
Get notified when we Publish PhD Positions
Subscribe

University: Technical University of Munich
Location: Munich
Department: Wissenschaftliches Personal / Professorship Big Geospatial Data Management
Supervisor: Martin Werner
Deadline: July 31, 2026

Position Overview

Technical University of Munich is offering a Research Associate position in the field of Contrastive Learning and GeoAI within the Professorship of Big Geospatial Data Management.

The project is funded by the German Research Foundation (DFG) and focuses on advanced machine learning techniques for geospatial applications.

The position also provides the opportunity to pursue a doctoral degree.

About the Research Group

The Professorship of Big Geospatial Data Management specializes in:

  • Acquisition and analysis of geospatial data

  • Distributed computing

  • Machine learning

  • Computer vision

  • Image and text analysis

  • High-performance computing

  • Quantum algorithms

  • Visualization of large-scale georeferenced datasets

The group supports computational thinking and data-driven Earth science research.

Research Project

The project focuses on:

  • Hard negative sampling for contrastive representation learning

  • Developing domain-aware sampling strategies using:

    • Spatial distance

    • Sensor metadata

    • Existing maps

  • Investigating coreset selection methods for large geospatial datasets

Application areas include:

  • Cross-view geo-localization

  • Visual place recognition

  • Aerial imagery analysis

  • Street-view imagery

  • LiDAR data processing

The research combines machine learning, geospatial intelligence, and computer vision techniques.

Responsibilities

The selected candidate will:

  • Conduct research related to the project themes

  • Develop innovative solutions proactively

  • Publish research findings in peer-reviewed journals and conferences

  • Present research at scientific events

  • Contribute to broader GeoAI and machine learning research activities

Eligibility Criteria

Applicants should have:

  • A completed Master’s degree in:

    • Computer Science

    • Mathematics

    • Physics

    • Geoinformatics

    • Data Science

    • Related disciplines

Required skills:

  • Strong background in machine learning

  • Excellent programming skills in:

    • Python

    • C++

    • Related technologies

  • Ability to work independently

  • Strong willingness to learn new techniques

  • Fluent English communication skills

Preferred qualifications:

  • Experience with:

    • Contrastive learning

    • Computer vision

    • Geospatial datasets

    • GeoAI research

  • German language skills are considered an advantage.

Employment Benefits

The position offers:

  • Full-time employment (100%)

  • TV-L E13 salary scale

  • Three-year contract

  • Opportunity to pursue a PhD degree

  • Access to modern research infrastructure

  • International research environment

  • Collaboration opportunities with industry and research institutes in Munich’s “Space Valley” ecosystem

Application Documents

Applicants should submit:

  • Motivation letter

  • Curriculum Vitae (CV)

  • Degree certificates and academic transcripts

  • Employment certificates

  • Other relevant supporting documents

All documents should be combined into a single PDF file.

Application Process

Applications should be sent via email to:

Applications must be submitted no later than 1 August 2026.

Expected starting period: September to November 2026

Equal Opportunity

Technical University of Munich encourages applications from women and gives preference to candidates with disabilities when qualifications are equivalent.

Contact Information

Professorship Big Geospatial Data Management
Technical University of Munich
Supervisor: Martin Werner
Location: Ottobrunn, Germany
Email: applications.bgd@ed.tum.de

TT
Written by Taiba Tahir Published on May 22, 2026