岗位描述
岗位职责
1、Apply CFD or reduced-order mixing models to evaluate vessel geometry, impeller selection, mixing times, local shear, and heat/mass transfer impacts on crystallization outcomes;
2、Integrate CFD insights with PBM to anticipate scale-up effects on supersaturation distribution, PSD, and impurity incorporation;
3、Design and execute data-rich experiments on primary/secondary nucleation, growth, agglomeration, and breakage;
4、Use in situ PAT (e、g、, FBRM, PVM, Raman, mid-FTIR/ReactIR, ATR-UV/Vis, calorimetry) and offline analytics (e、g、, XRPD, DSC, TGA, SEM, laser diffraction, dynamic image analysis) to monitor supersaturation, solid form, and PSD evolution;
5、Estimate kinetic parameters for nucleation, growth, agglomeration, and breakage; build and validate PBMs to predict PSD and shape under varying supersaturation and hydrodynamics;
6、Apply thermodynamic and phase-equilibrium models (e、g、, solubility modeling, activity coefficient methods, metastable zone width) to inform supersaturation and seeding strategies;
7、Develop first-principles models to guide seeding policies, cooling or antisolvent addition profiles, and batch vs、 continuous mode selection;
8、Define robust operating envelopes and support tech transfer to pilot and commercial assets;
9、Lead PAT strategy for crystallization: sensor selection, probe placement, calibration, data integrity, and maintenance;
10、Develop soft sensors and multivariate models; integrate PAT with control strategies for real-time monitoring of supersaturation, nucleation events, and PSD proxies;
11、Collaborate with automation/controls to deploy feedback/feedforward control leveraging PAT data;
12、Design targeted experiments to reduce model uncertainty and refine kinetic/thermodynamic mechanisms, minimizing empirical iteration;
13、Partner with solid-state and analytical teams on polymorph landscapes, salt/cocrystal options, and isolation/washing/drying impacts on quality and PSD;
14、Integrate PBM/CFD and thermodynamic models into digital workflows and data historians; collaborate on AI/ML approaches for soft sensing, parameter estimation, and optimization;
15、Translate model and PAT insights into process decisions and control strategies; author technical reports and contribute to regulatory documentation related to crystallization and particle attributes.
岗位要求
1、Returnee PhD/ or experienced returnee Master 学历是硬性条件;
2、Major in Chemical Engineering or closely related field with relevant industrial experience in crystallization, particle engineering, or process modeling (computational fluid dynamics 计算流体力学);
3、Hands-on experience implementing PAT for crystallization (e、g、, FBRM, PVM, Raman, FTIR), including probe selection, chemometric model development, calibration/validation, and data quality assurance;
4、Demonstrated expertise in crystallization kinetics, PBM, and phase equilibrium/thermodynamics, with a track record of translating models into process designs (seeding strategies, cooling/antisolvent profiles, continuous crystallization);
5、Proficiency with modeling tools such as gPROMS, Aspen Plus/Custom Modeler, Dynochem, MATLAB, Python, or equivalent for PBM, parameter estimation, and uncertainty analysis;
6、Practical understanding of mixing, heat/mass transfer, and their influence on nucleation/growth; experience with CFD or mixing analyses applied to crystallization;
7、Ability to design and execute lab and pilot studies to generate high-quality data for model development and validation;
8、Analytical and Problem-Solving: Hypothesis-driven approach; competency in sensitivity and uncertainty analysis;
9、Teamwork: Effective collaborator across chemistry, engineering, analytical, automation, and manufacturing;
10、Communication: Clear, concise technical writing and presentations for diverse audiences;
11、Organization: Strong prioritization and project management to manage multiple workstreams;
12、Knowledge Sharing: Document models, datasets, PAT methods, and learnings to build organizational capability;
13、Resource Management: Efficient use of internal labs and external partners/vendors.