About the position
## PhD scholarship within Bioprocess Engineering Build AI digital twins for real-time fermentation control and drive the future of biotech ## Competence Required qualifications - A Master's degree or equivalent in Bioprocess Engineering, Biochemical Engineering, Chemical Engineering, Systems/Control Engineering, Applied Biotechnology or a related field. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting M.Sc. thesis within 30. August 2026 may be considered. - In the Master’s degree, both the average grade point and the Master’s thesis, must be B or better in the Norwegian educational system. Applicants who have recently graduated with excellent results may be given preference. - Proficiency in both written and oral English in correspondence with the admission criteria for the PhD program. - Documented knowledge and experience in process modelling and process kinetics (such as mass/energy balances and reaction rate modelling, growth models, parameter estimation and model validation). - Documented knowledge and experience in data analysis and scientific computing (such as proficiency in - Python/R/MATLAB, data visualization, machine learning, and statistics for bioprocesses). - Personal suitability and motivation for the position. Qualifications considered an advantage - Documented knowledge and experience in machine learning, deep learning, and control (such as CNNs, RNNs/LSTMs, autoencoders, physics-informed neural networks, anomaly/outlier detection, uncertainty quantification, model predictive control). - Documented knowledge and experience in vibrational spectroscopy and chemometrics (such as practical experience with Raman/infrared spectroscopies, spectral pre-processing and chemometrics for spectroscopic data). - Documented knowledge and experience in analytical chemistry for fermentation products (such as sample preparation and measurement with HPLC and GC of microbial metabolites). - Documented knowledge and experience in microbiology (such as working with bacteria/yeasts/microalgae in sterile conditions, safe lab practice). - Documented knowledge and experience in bioprocess and fermentation operations (such as operation of lab scale bioreactors, experience with batch/fed-batch cultivations). Personal qualities - Good time management and organizational skills, with the ability to prioritize tasks effectively. - Good collaboration skills and an ability to join interdisciplinary academic communities. - Good written and verbal communication skills for effective presentation of research findings.
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