PhD Position in AI-Driven Spectroscopy, Digital Twins and Autonomous Control for Bioprocesses at Norwegian University of Science and Technology
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About NTNU
The Norwegian University of Science and Technology is a leading technical university with a strong focus on scientific research, innovation, and professional education. With a large international academic community, NTNU contributes to knowledge development for sustainable societal progress and technological advancement.Research Focus: AI for Bioprocess Monitoring and Control
Autonomous microbial bioprocesses are currently limited by slow, off-line analytical measurements of cultivation media, which restrict real-time decision-making and adaptive control. This PhD project addresses that gap by developing artificial intelligence-enabled monitoring frameworks that convert complex sensor and spectral data into reliable state information for automated fermentation systems. The research integrates advanced optical spectroscopy techniques, including Raman spectroscopy and complementary near-infrared (NIR) and mid-infrared (MIR) methods, with machine learning, digital twins, and uncertainty-aware AI models. Unlike purely simulation-based research, this project includes experimental validation in an automated microbial feedback control laboratory, enabling rapid iteration from algorithm development to real-world implementation.Scope of Work
The PhD candidate will develop an end-to-end AI framework linking spectroscopy data analytics to state estimation and autonomous process control in microbial fermentation. Core research areas include:- Spectroscopy analytics using chemometrics, partial least squares (PLS), deep learning, calibration transfer, drift compensation, novelty detection, and uncertainty quantification
- Hybrid modeling and digital twins combining mechanistic process models with machine learning components
- State estimation and soft sensing using Kalman filter variants such as EKF and UKF, probabilistic inference, and multi-sensor data fusion
- AI-enabled closed-loop control strategies including model predictive control (MPC), adaptive control, and learning-augmented control under operational constraints
Key Responsibilities
The selected candidate will complete doctoral education leading to a PhD degree while conducting high-quality research within the Process Systems Engineering and Microbial Feedback Control Laboratory research groups. Responsibilities include:- Conducting independent research aligned with AI, spectroscopy, and bioprocess control
- Publishing scientific articles and contributing to knowledge dissemination
- Participating actively in interdisciplinary research collaboration
- Potential involvement in teaching or teaching assistance
- Adapting to evolving research and laboratory responsibilities
Required Qualifications
Applicants must hold a Master’s degree equivalent to a five-year Norwegian study program in data science, engineering cybernetics, control engineering, chemical or bioprocess engineering, biotechnology, applied mathematics, or applied physics. A strong academic background corresponding to a B average or better under NTNU’s grading scale is required. Candidates must qualify for admission to the PhD programme in Chemical Engineering and demonstrate documented fluency in written and spoken English.Preferred Qualifications
Advantageous qualifications include:- Foundations in machine learning, modeling, or control systems
- Programming skills in MATLAB or Python
- Knowledge of time-series inference, spectroscopy, estimation theory, digital twins, or fermentation processes
- Laboratory experience in microbiology, fermentation, analytical chemistry, or related experimental environments
Personal Attributes
Successful candidates should demonstrate problem-solving skills under uncertainty, especially in experimental settings where issues such as sensor drift or contamination may arise. Curiosity, structured working methods, attention to detail, and effective interdisciplinary communication are essential. A collaborative mindset and motivation to bridge AI algorithms with laboratory experimentation are highly valued.Employment Terms and Benefits
The position is offered for a three-year period with competitive salary under the Norwegian public sector framework. Benefits include membership in the Norwegian Public Service Pension Fund, access to advanced sensing infrastructure and automated laboratories, structured supervision across AI and bioprocess domains, mentoring programs, and Norwegian language training. Employment requires admission to the PhD programme within three months of starting and compliance with Norwegian state employment regulations, including export control legislation. Physical presence in Trondheim is required for effective academic and laboratory collaboration.Diversity and Inclusion
NTNU values diversity, gender balance, and equal opportunity in scientific recruitment. Applicants from diverse professional and cultural backgrounds are encouraged to apply. The university promotes inclusive research environments that strengthen innovation and societal impact.Application Requirements
Applications must be submitted electronically and include academic transcripts and diplomas, curriculum vitae, a copy of the Master’s thesis, a motivation letter explaining alignment with the project scope, relevant publications, and contact information for referees. International applicants must provide documentation verifying the scope and quality of their academic qualifications.Living in Trondheim, Norway
The position is based in Trondheim, recognized as Norway’s technology capital with a population of approximately 200,000. The city offers a high quality of life, access to healthcare and education, subsidized childcare, international schooling options, clean air, low crime rates, and proximity to natural landscapes and cultural activities. Norway’s welfare system and research-oriented environment make Trondheim an attractive destination for doctoral studies in AI, biotechnology, and advanced process engineering. Apply now at : PhD Candidate in AI-Driven Spectroscopy, Digital Twins and Autonomous Control for Bioprocesses (295108) | NTNU - Norwegian University of Science and TechnologyPhD in Biophysics at Radboud University
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Position Overview
Radboud University is offering a fully funded PhD position in Biophysics at the Faculty of Science in Nijmegen, Netherlands. The role is based within the Radboud Institute for Molecular Life Sciences (RIMLS) and supervised by Dr. Jorine Eeftens. The position focuses on fundamental research into protein–DNA interactions at the single-molecule level, with a planned start date of September 2026.
Research Focus
This PhD project explores how structural proteins influence the mechanical and physical properties of DNA, a key factor in genome organization and cellular function.
Core research themes include:
DNA packaging and chromatin structure
Protein–DNA interaction dynamics
Genome stability and regulation
Links between molecular dysfunction and diseases such as cancer
The project aims to uncover the physical principles governing DNA organization and how disruptions contribute to genetic disorders.
Research Methods and Approach
The candidate will use advanced single-molecule biophysics techniques, including:
Optical tweezers to study force responses of proteins
Measurement of molecular interactions and dynamics
Experimental analysis of chromatin structure
Integration of physics-based and biological approaches
This interdisciplinary work bridges biophysics, molecular biology, and medical science.
Responsibilities
The PhD candidate will:
Conduct experimental research on protein–DNA interactions
Analyze and interpret single-molecule data
Collaborate within a multidisciplinary research team
Contribute to scientific publications and presentations
Participate in teaching activities (up to 10%)
Engage in collaborations with partner institutes
Candidate Requirements
Applicants should have:
A Master’s degree in Molecular Sciences, Biophysics, Nanobiology, Biochemistry, or a related field
Strong interest in chromatin biology and interdisciplinary research
Good communication and academic writing skills in English
Ability to work both independently and in teams
Preferred Qualifications
The following are advantageous:
Experience with optical tweezers
Background in chromatin biology or DNA mechanics
Laboratory research experience in molecular or biophysical systems
Research Environment
The position is hosted at RIMLS, a leading interdisciplinary research institute focusing on:
Epigenetics and developmental biology
Biophysics and computational biology
Molecular life sciences research
The candidate will work in the Chromatin Biophysics group and collaborate with the Institute for Molecules and Materials, benefiting from strong interdisciplinary and international partnerships.
PhD Structure
Duration: 4 years full-time (or 5 years at 0.8 FTE)
Initial contract: 1.5 years with evaluation
Extension based on performance
Teaching load: up to 10%
Salary and Benefits
Starting salary: €3,059/month, increasing to €3,881
8% holiday allowance and 8.3% year-end bonus
30–41 days of annual leave
Flexible working hours and remote work options
Pension plan and additional employee benefits
Discounts on sports and cultural activities
Access to training and career development programs
Application Requirements
Applicants must submit:
Cover letter addressed to Dr. Jorine Eeftens
CV
Supporting documents as specified in the application portal
Applications must be submitted through the official online system.
Deadline
30 May 2026
Additional Information
Shortlisted candidates will be invited for interviews in early June 2026. The university promotes diversity, inclusion, and equal opportunity in recruitment.
This PhD position offers a strong opportunity to work at the intersection of physics and biology, contributing to cutting-edge research in genome organization and disease mechanisms.
PhD in Education at University of Cambridge
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Programme Overview
The University of Cambridge offers a PhD in Education through its Faculty of Education. This is a research-intensive doctoral programme designed to produce original academic work and contribute to global education research. The programme runs for 3–4 years full-time or 4–7 years part-time, starting in October 2026.
Applications for this cycle are now closed and are expected to reopen in early September.
Research Focus and Structure
The PhD is centred on independent research guided by an academic supervisor. Students are expected to develop a substantial thesis of up to 80,000 words, contributing new knowledge to the field of education.
Key features include:
Predominantly research-based study
Individual supervision by subject experts
Participation in research seminars and academic activities
Engagement with global education research challenges
Academic Environment
The Faculty of Education is one of the UK’s leading research institutions, ranked among the top in national assessments. It offers a strong academic environment with:
World-leading research output and impact
Interdisciplinary collaboration opportunities
Access to extensive academic resources and networks
Doctoral students contribute actively to the faculty’s research culture and are encouraged to engage in scholarly discussions and academic events.
Training and Development
At the beginning of the programme, students join the Pathways to Research initiative, which provides:
Structured academic support
Research skills development
A collaborative doctoral community
Students also create a personalized development plan, drawing on resources across the university.
Supervision and Feedback
Each PhD student is assigned:
A primary supervisor for research guidance
An academic adviser for additional support
Students receive:
Regular supervision meetings
Ongoing formative feedback
Annual progress reports
Progression to full PhD registration requires passing a first-year review, including a written report and oral examination (registration viva).
Assessment
The PhD is assessed through:
A written thesis (maximum 80,000 words)
A viva voce (oral examination)
Students must successfully complete both to obtain the degree.
Admission Requirements
Applicants should have:
A Master’s degree in Education or a related field
Demonstrated research skills and academic potential
International applicants must meet English language requirements, such as:
IELTS overall score of 7.5 (minimum 7.0 in each component)
TOEFL score of 110
Application Requirements
A complete application must include:
Research proposal (up to 1,500 words)
CV/resume
Academic transcripts
Two references (academic or professional)
Evidence of English proficiency
Named prospective supervisor
Applicants are required to contact a potential supervisor before applying to ensure alignment of research interests.
Fees and Funding
Estimated annual costs:
University fees: £10,878
Living expenses: £19,860
Total: approximately £30,738 per year
Limited funding is available, and applicants are encouraged to apply early for scholarships such as Gates Cambridge.
Key Dates
Applications open: 3 September 2025
Application deadline: 16 March 2026
Funding deadline: 3 December 2025
Programme start: 1 October 2026
Additional Information
The programme emphasizes independent research, critical thinking, and academic contribution. Students benefit from a globally recognized academic environment and strong supervisory support.
Prospective applicants should monitor official updates, as applications are expected to reopen in the next cycle.
PhD in Mathematics Education at University of Agder
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Position Overview
The University of Agder is offering a fully funded PhD position in Mathematics Education at the Faculty of Engineering and Science. The role is based at Campus Kristiansand and is affiliated with the Department of Mathematical Sciences. The position is available for 3 years (or 4 years with 25% teaching duties), with a flexible start date.
Research Focus
The PhD project explores innovative approaches to university mathematics teaching, addressing the gap between modern developments in mathematics and traditional teaching methods.
Key research themes include:
Integration of digital tools such as AI, CAS, and automated theorem provers
Use of visualizations and concrete materials in mathematics learning
Teaching strategies for different student groups (e.g., engineering students, future teachers)
Analysis of learning processes and mathematical development
Alignment of academic teaching with industry and research practices
Research Environment
The position is part of MERGA, a leading research center in mathematics education with an active PhD community. The candidate will join the research group “Mathematics in Higher Education” and collaborate closely with MatRIC, a national Centre for Excellence in Higher Education.
The department is actively involved in international and Nordic research collaborations and hosts the Graduate School in Mathematics and Science Education (MaScE).
Responsibilities
The PhD candidate will:
Conduct independent research in mathematics education
Develop and submit a detailed research proposal within three months
Contribute to research projects and academic publications
Participate in teaching and academic activities
Engage in national and international research collaborations
Contribute to the academic community and research group
Candidate Requirements
Applicants must have:
A Master’s degree in Mathematics Education or a closely related field
Teaching qualifications
Strong academic background and research potential
Proficiency in written and spoken English
Preferred Qualifications
The following are considered advantageous:
Proficiency in Norwegian or another Scandinavian language
Experience in teaching at school or university level
Knowledge of qualitative and/or quantitative research methods
Experience in academic research or collaborative projects
Familiarity with literature reviews and educational research methods
Personal Competencies
The ideal candidate should demonstrate:
Strong motivation and curiosity for mathematics education research
Ability to work independently and collaboratively
Structured and goal-oriented research approach
Analytical thinking and attention to detail
Adaptability to new research methods and topics
PhD Structure
Duration: 3 years (or 4 years with teaching duties)
Enrollment in the PhD programme in Engineering and Science (Mathematical Sciences specialization)
Research visits and collaboration opportunities may be included
Dissertation typically written in English
Salary and Benefits
Annual salary: NOK 550,800
Membership in the Norwegian Public Service Pension Fund
Access to modern research facilities and academic resources
Inclusive and diverse work environment
Professional development and research training opportunities
Application Requirements
Applicants must submit:
Cover letter outlining motivation and research interests
Academic transcripts and certificates
Master’s thesis
Preliminary research proposal (max 5 pages)
References
List of publications or research outputs (if available)
Any additional relevant documentation
All applications must be submitted electronically through the official application portal.
Deadline
19 May 2026
Additional Information
For academic inquiries, applicants may contact Professor David Reid or the department leadership. For application-related questions, contact the university’s HR team.
The University of Agder promotes diversity, inclusion, and equal opportunity, encouraging candidates from all backgrounds to apply.
PhD in Mechanical Engineering at TU Eindhoven
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Position Overview
Eindhoven University of Technology (TU/e) is offering a fully funded PhD position in Mechanical Engineering focused on sustainable energy systems. The role is part of a Dutch Research Council (NWO) project under the Open Technology Programme, exploring the Iron Power Cycle as a carbon-free energy storage solution. The position is full-time (4 years) and based in Eindhoven, Netherlands.
Research Focus
This PhD project investigates iron powder combustion as a low-cost, circular energy carrier for large-scale energy storage and transport.
Key research objectives include:
Understanding combustion behavior of iron powders with impurities
Studying ignition, temperature, and particle transformation
Enabling the use of industrial-grade, low-cost iron powders
Supporting development of next-generation metal fuel systems
The project combines experimental combustion studies with materials analysis and supports predictive modeling of energy systems.
Key Research Activities
The candidate will conduct advanced experimental and analytical work, including:
Single-particle combustion experiments
Solid-phase oxidation studies
Post-combustion material characterization
Analysis of particle morphology and reaction behavior
Integration of findings into multiscale modeling frameworks
The research is part of the Power and Flow (P&F) Section, known for leading work in metal fuel technologies.
Responsibilities
The PhD candidate will:
Design and conduct laboratory experiments on iron powder combustion
Analyze experimental data and interpret results
Collaborate with academic and industrial research partners
Contribute to scientific publications and presentations
Participate in teaching activities (10–15% workload)
Support interdisciplinary research within energy and materials science
Candidate Requirements
Applicants should have a Master’s degree in:
Mechanical Engineering
Chemical Engineering
Materials Science
Physics or a related field
Essential qualifications include:
Strong interest in combustion, reactive materials, or multiphase flows
Experience with laboratory experiments and data analysis
Programming and data-processing skills
Ability to work independently and in teams
Strong communication skills in English
Preferred Qualifications
The following are considered advantageous:
Experience with optical diagnostics or combustion experiments
Background in materials characterization techniques
Familiarity with experimental research environments
Work Environment
The position is based in the Department of Mechanical Engineering at TU/e, located in Brainport Eindhoven, a leading European high-tech region.
The research environment offers:
Collaboration with top academic and industrial partners
Access to advanced laboratories and infrastructure
Interdisciplinary work across energy, materials, and engineering
PhD Structure
Duration: 4 years full-time
Initial assessment after 9 months
10–15% teaching responsibilities
Structured training and career development programs
Focus on developing independent research skills
Salary and Benefits
Monthly salary: €3,059 to €3,881
8.3% year-end bonus and 8% holiday allowance
Pension scheme and parental leave benefits
Access to sports facilities and campus services
Support for international candidates (relocation and tax benefits)
Commuting and remote work allowances
Application Requirements
Applicants must submit:
Cover letter outlining motivation and qualifications
CV including publications and three referees
Complete application via TU/e online system
Incomplete applications or submissions via email will not be considered.
Deadline
26 May 2026
Additional Information
For further details, candidates may contact Prof. XiaoCheng Mi or the HR advisor at TU/e.
Eindhoven University of Technology offers a collaborative, innovation-driven research environment and encourages applications from diverse and international candidates.