algorithm developer

ACSASS IT

<p><b>Job Summary:</b> The MATLAB Developer is responsible for designing, developing, and implementing algorithms and data analysis solutions in MATLAB. This role requires a solid understanding of MATLAB programming, mathematical modeling, and data visualization. As an experienced MATLAB developer, you&rsquo;ll work on advanced analytical projects, handle large datasets, and contribute to research, engineering, or scientific projects requiring high-level data processing and simulation capabilities. You will collaborate with interdisciplinary teams to provide insights, optimize algorithms, and support decision-making through robust analysis and modeling.</p><p><b>Key Responsibilities:</b></p><ul><li><b>Algorithm Development and Data Analysis:</b></li><li>Develop, implement, and optimize complex algorithms using MATLAB for applications such as signal processing, image processing, numerical modeling, or machine learning.</li><li>Perform advanced data analysis, statistical analysis, and modeling, ensuring results are accurate, reliable, and relevant to project goals.</li><li>Work with large datasets to extract meaningful insights and visualize results for easier interpretation and reporting.</li><li><b>Modeling and Simulation:</b></li><li>Create mathematical models and simulations to support engineering or scientific research, including control systems, dynamic systems, or financial modeling.</li><li>Conduct parameter estimation, sensitivity analysis, and validation to ensure model accuracy and reliability.</li><li>Use Simulink or other MATLAB toolboxes for system simulations and to support complex model designs.</li><li><b>Performance Optimization:</b></li><li>Optimize code and algorithms for computational efficiency and scalability, especially for data-intensive applications.</li><li>Use MATLAB profiling tools to identify performance bottlenecks and refine algorithms for faster execution times.</li><li><b>Collaboration and Documentation:</b></li><li>Collaborate with cross-functional teams, such as engineers, data scientists, and researchers, to define requirements, share insights, and align on project objectives.</li><li>Document all code, analysis, and methodologies in a clear and organized manner, ensuring reproducibility and easy reference for team members.</li><li>Present findings, methodologies, and project updates to stakeholders in a comprehensible and professional manner.</li><li><b>Tool Development and Automation:</b></li><li>Develop reusable tools, scripts, and functions in MATLAB to automate repetitive tasks and streamline workflows.</li><li>Create custom GUIs or interactive applications within MATLAB for user-friendly access to complex algorithms and visualizations.</li></ul><p><b>Requirements:</b></p><ul><li><b>Education and Experience:</b> Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, Mathematics, Physics, or a related field with 6 months to 2 years of experience in MATLAB development and data analysis.</li><li><b>Technical Skills:</b></li><li>Proficiency in MATLAB programming, including MATLAB scripting, function creation, and use of MATLAB toolboxes.</li><li>Experience in algorithm development, data visualization, and data processing with MATLAB.</li><li>Strong understanding of mathematical modeling, statistical analysis, and numerical methods.</li><li>Familiarity with Simulink or other MATLAB tools, depending on project requirements.</li><li><b>Additional Skills:</b> Knowledge of relevant fields (e.g., control systems, image processing, signal processing, machine learning) and their applications within MATLAB.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience with other programming languages (e.g., Python, C++) for integration or interfacing with MATLAB.</li><li>Background in specific industry applications, such as biomedical engineering, automotive, aerospace, finance, or robotics.</li><li>Familiarity with Agile methodologies or experience working in research and development environments.</li></ul><p>Job Types: Full-time, Permanent, Fresher, Internship<br/>Contract length: 1 month</p><p>Pay: ₹13,122.33 - ₹60,344.65 per month</p><p>Work Location: In person</p>

MATLAB Developer

10xengineers

<p><b>Senior Algorithm Engineer</b><br/>IoT Medical Devices</p><p><b>Level: </b>Junior-Mid (1 &ndash; 4 years experience)<br/><b>Location:</b> Onsite, Lahore<br/><b>Job Type:</b> Full-time, Permanent</p><p><b>About the role</b></p><p>Our biomedical engineering team is looking for an <b>Algorithm Engineer. </b>This is a key hands-on role in developing core algorithms for signal processing, modeling, estimation, and data-driven analysis. You will work closely with the engineering leadership, collaborating with embedded/firmware, and clinical teams to translate real-world signals into robust and reliable system behaviors.</p><p>This is a hands-on, deeply technical position involving end-to-end algorithm development.</p><p><b>What You&rsquo;ll Do</b></p><ul><li>Design, develop, and optimize algorithms for digital signal processing, mathematical modeling, estimation, and system identification.</li><li>Analyze complex sensor data and extract meaningful insights to support system performance and product features.</li><li>Develop prototypes, simulations, and validation experiments using MATLAB and Python.</li><li>Contribute to algorithmic requirements, specifications, and documentation for a regulated medical device environment.</li><li>Collaborate cross-functionally with firmware, hardware, clinical, and product teams to ensure algorithm performance in real-world scenarios.</li><li>Investigate scientific literature, evaluate state-of-the-art methods, and apply mathematical techniques to solve engineering problems.</li><li>Support verification and validation activities relevant to FDA pathways, ensuring algorithm reliability and traceability.</li><li>Lead junior Algorithm Engineers while remaining hands-on in development, implementation, and experimentation.</li></ul><p><b>What We&rsquo;re Looking For</b></p><p><b>Educational Background</b></p><ul><li>Candidates must have completed at least an <b>MS degree</b> in Electrical/Computer Engineering or a related discipline.</li><li>A thesis in the domain of signal processing is preferred but not required.</li></ul><p><b>Skills and Experience</b></p><ul><li>1+ years of relevant experience with demonstrated experience in signal processing, mathematical modeling, estimation, or system identification.</li><li>Candidates must have strong mathematical and computational foundations.</li><li>Candidates must be comfortable with programming in Matlab and Python.</li><li>Prior experience with machine learning, pattern recognition, and data science is preferred, but not required.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Algorithm Engineer

ADB Safegate

<div><div><div><div><div>Contract Type: Permanent
</div></div></div></div><div><div><div><div>Job Location: Hyderabad - India
</div></div></div></div><div><div><div><div><div><b>Type: Full-time | Immediate Start<br>
</b></div><div></div><div><b>Who Are We?<br>
</b></div><div><br>
ADB SAFEGATE is the market leader in Airfield Solutions, with a presence in 2,300 airports and 40 offices worldwide. We are building ADB SAFEGATE India Labs in Hyderabad, India &ndash; our latest software development hub. This is an opportunity to join a truly global company, working on innovative software solutions that support airport operations across Airfield, Apron, Terminal, Tower, and Weather solutions.<br>
</div><div></div><div><b>The opportunity<br>
</b></div><div></div><div>We are looking for a <b>Data Science Leader &ndash; Airside 4.0 </b>to drive Airside 4.0 innovation&mdash;solve critical airfield challenges through data science and first-principles engineering. Build algorithms, simulations, and solutions that make airports safer and more efficient worldwide.
</div><div>This is <b>technical leadership without people management </b>. You&rsquo;ll use cases end-to-end, drive technical direction, and collaborate across engineering, product, and customer teams. This role combines the expertise of a data scientist with the practical problem-solving of a systems engineer, requiring a deep understanding of airside systems, customer use cases, and the engineering principles behind our products.<br>
</div><div></div><div><b>What will you do?<br>
</b></div><div></div><ul><li><b>Use Case Development </b>: Leading the development of Airside 4.0 use cases by understanding customer problems, analyzing data from our systems and sensors, and designing innovative solutions based on first principles.
</li><li><b>Algorithm Design </b>: Creating and implementing algorithms to extract actionable insights from data and optimize airfield operations, such as improving safety, efficiency, and resource utilization.
</li><li><b>Simulation and Modeling </b>: Developing simulation models to test and validate solutions, optimize system performance, and predict outcomes under various scenarios.
</li><li><b>Systems Understanding </b>: Gaining a deep knowledge of ADB SAFEGATE's products, including sensors, lighting, and guidance systems, and how they interact within the airfield ecosystem.
</li><li><b>Collaboration </b>: Partnering with engineering, product management, and customer-facing teams to ensure solutions aligned with business objectives and customer needs.
</li><li><b>Data Analysis </b>: Collecting, processing, and analyzing data from airfield systems to uncover patterns, trends, and opportunities for improvement.
</li><li><b>First Principles Problem-Solving </b>: Applying engineering and physics fundamentals to tackle complex, real-world airfield challenges and develop practical, scalable solutions.
</li><li><b>Technical Leadership </b>: Acting as a subject matter expert in Airside 4.0 technologies, guiding the organization&rsquo;s technical direction in this area and mentoring other technical team members.<br>
</li></ul><div></div><div><b>We&rsquo;re Looking for Someone With:<br>
</b></div><div></div><ul><li>A bachelor&rsquo;s degree in engineering, Physics, Computer Science, or a related technical field. A master&rsquo;s degree or equivalent experience is a plus.
</li><li>A minimum of 8&ndash;10 years of relevant experience in data analysis, algorithm development, system modeling, or engineering roles involving technical problem-solving.
</li><li>Strong knowledge of engineering and/or physics principles, with the ability to approach problems from a first-principles perspective.
</li><li>Proven experience in simulation and modeling techniques to test and validate solutions and predict system behavior under various conditions.
</li><li>Familiarity with sensor systems, IoT devices, and data collection/processing methodologies.
</li><li>An understanding of airfield operations and/or airport systems is highly desirable.
</li><li>Proficiency in programming languages (such as Python or MATLAB) for data analysis, algorithm development, and simulation modeling.
</li><li>Strong analytical and problem-solving skills, with the ability to work independently and think critically.
</li><li>Excellent communication and collaboration skills, with the ability to present complex technical concepts to non-technical audiences.
</li>A passion for innovation, technology, and continuous learning.<br>
<li>
</li></ul><div></div><div><b>Why Join ADB Safegate?<br>
</b></div><div></div><ul><li>Be part of a global organization (1500+ employees) driving innovation in aviation and our key employees in Data science at our new office ADB SAFEGATE Labs in Hyderabad.
</li><li>Technical leadership role to shape the future of airfield operations and be a key contributor to ADB SAFEGATE&rsquo;s Airside 4.0 vision.
</li><li>Global impact: collaboration with teams across Europe and North America.
</li><li>Competitive salary, benefits, and career growth opportunities.
</li>A collaborative and flexible work culture that values your contributions.<br>
<li>
</li></ul><p></p><p>If you want to join a global business and enjoy being a team player who's driven and passionate, then this is your opportunity to come on board by applying!
</p><p>What to learn more about working at ADB SAFEGATE then check out our Career's website https://adbsafegate.com/about/career/
</p></div></div></div></div><div><div><p>ADB SAFEGATE is an equal opportunity employer. ADB SAFEGATE does not discriminate against any employee or applicant for employment because of characteristics protected by law, including but not limited to, race, color, age, creed, religion, national origin, ancestry, sex, sexual orientation, marital status, veteran status, or disability. If you need assistance or reasonable accommodation in completing this application or during the interview, please contact our Human Resources Department.
</p></div></div><div><div><div><div>Req Id: 1227</div></div></div></div></div>

Data Science Leader - Airside 4.0

MathWorks

<div><div><p>Develop new advanced numerical C++ algorithms and System object features, and their corresponding automatic code generation capabilities. Design and implement architecture enhancements for algorithms. Improve the design of system object and Simulink block UI for better user experience. Participate in all aspects of the software development cycle, design, development, and testing. Contribute to the best practices for our development processes.</p><br>
<p></p>
<p>
May telecommute up to 40%.</p>
<p>Responsibilities</p><br>
<p></p><p>Qualifications</p>
<p><b>Required Qualifications:</b></p>
<p>
Employer will accept a PhD degree in Engineering [any], Computer Science, or related field and no experience.</p>
<p>
Alternatively, employer will accept a Master&rsquo;s degree in degree in Engineering [any], Computer Science, or related and [2] two years of experience in the job offered or in a Senior Software Engineer-related occupation or a Bachelor&rsquo;s degree in Engineering [any], Computer Science, or a related field and [5] five years of experience in the job offered or in a Senior Software Engineer-related occupation.</p>
<p>
Position requires demonstrable experience with the following:</p>
<div>
<ul><li>Expertise with C++ programming;</li></ul>
<ul><li>Experience with Simulink and MATLAB;</li></ul>
<ul><li>Knowledge of object-oriented concepts;</li></ul>
<ul><li>Experience with algorithm development;</li></ul>
<ul><li>Software Design Patterns &ndash; Using knowledge of design patterns to develop scalable software architectures;</li></ul>
</div>
<p>Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple positions available.</p>
<div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Why MathWorks?</p>
<p>
It's the chance to collaborate with bright, passionate people. It's the opportunity to accelerate the pace of discovery, innovation, and learning in engineering and science. And it&rsquo;s a commitment to doing the right thing&mdash;for each individual, our customers, and the local community. We cultivate an enjoyable, participatory, and rational environment that champions individual growth, encourages initiative, values collaboration, shares success, and rewards excellence.</p>
<p>
MathWorks develops MATLAB and Simulink, the leading technical computing software used by engineers and scientists. The company employs more than 6,500 people in 16 countries, with headquarters in Natick, Massachusetts, USA. MathWorks is privately held and has been profitable every year since its founding in 1984.</p>
<p><b>
YOU + MathWorks = Unlimited Possibilities</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Senior Software Engineer

EDGE

<div>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement control systems (PID, adaptive, model-based) for target tracking and stabilization platforms.
  </li>
  <li>
   Develop and implement real-time control algorithms for electro-optical systems, ensuring high precision and smooth operation.
  </li>
  <li>
   Create mathematical models and simulations to predict performance and refine control strategies in dynamic environments.
  </li>
  <li>
   Collaborate with hardware and software teams to integrate control systems with sensors (IMU, gyroscopes, accelerometers) and actuators.
  </li>
  <li>
   Conduct system tuning, validation, and optimization to meet stability, accuracy, and response time targets.
  </li>
  <li>
   Test, troubleshoot, and document control algorithms in both lab and field environments to ensure performance and reproducibility.
  </li>
  <li>
   Create and deliver technical papers, reports, and proposals to internal and external stakeholders.
  </li>
  <li>
   Support laboratory testing and qualification efforts for optical systems and sensor products.
  </li>
  <li>
   Develop test plans, collect and analyze data, and document results.
  </li>
  <li>
   Assist business development by conducting market studies, evaluating emerging technologies in optical sensor systems, and providing recommendations.
  </li>
  <li>
   Provide mentorship, technical oversight, and task delegation as needed.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in Mechatronics Engineering, Electronics Engineering, Control Systems Engineering, or a related field (PhD preferred).
  </li>
  <li>
   Minimum 5-7 years of experience in control systems engineering, with a focus on gimbal stabilization.
  </li>
  <li>
   Strong understanding of control theory and control system design (PID, state-space, adaptive control) and model-based approaches for dynamic systems.
  </li>
  <li>
   Experience designing control algorithms for stabilization and tracking systems, such as gimbals and optical platforms.
  </li>
  <li>
   Hands-on experience implementing real-time control algorithms in embedded systems, PLCs, or DSPs.
  </li>
  <li>
   Proficiency in system modeling and simulation using MATLAB/Simulink.
  </li>
  <li>
   Knowledge of C, C++ for embedded system development is a plus.
  </li>
  <li>
   Experience working with sensors (gyroscopes, accelerometers, etc.) and actuators used in target tracking and stabilization.
  </li>
  <li>
   Expertise in testing, tuning, and validating control systems for high-precision applications in dynamic environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Control System Design: PID, state-space, adaptive control.
  </li>
  <li>
   Algorithm Development: Real-time control for tracking and stabilization.
  </li>
  <li>
   System Modeling &amp; Simulation: MATLAB/Simulink.
  </li>
  <li>
   Embedded Systems &amp; Programming: C, C++ (preferred), PLCs, DSPs.
  </li>
  <li>
   Sensors &amp; Actuators: IMU, gyroscopes, accelerometers.
  </li>
  <li>
   Testing &amp; Validation: System tuning, performance optimization, troubleshooting.
  </li>
  <li>
   Technical Documentation &amp; Reporting: Creating reports, proposals, and technical papers.
  </li>
 </ul>
</div>


Control Systems Engineer

Scouto AI

<div>
 Position Summary
 <br/>
 <br/>
 As a Computational Materials Discovery Scientist, you will work at the intersection of materials science, computational chemistry, condensed matter physics, quantum computing, and AI/ML. You will contribute to first-principles simulations, molecular and mesoscale modeling, materials informatics pipelines, and hybrid quantum&ndash;classical algorithms for accelerated discovery of materials, catalysts, semiconductors, polymers, and functional systems.
 <br/>
 <br/>
 This role is ideal for candidates who want to solve real scientific and industrial problems using DFT, MD, multiscale modeling, machine learning, and emerging quantum computing techniques, fully integrated with QpiAI&rsquo;s AI and quantum computing platforms.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Core Technical Skills
 <br/>
 <br/>
 <ul>
  <li>
   Computational &amp; Quantum Mechanical Methods
   <br/>
   <br/>
  </li>
 </ul>
 Electronic Structure &amp; Quantum Methods
 <br/>
 <br/>
 <ul>
  <li>
   Density Functional Theory (DFT)
  </li>
  <li>
   Ab initio Molecular Dynamics (AIMD)
  </li>
  <li>
   Time-dependent DFT (TDDFT) for excited states
  </li>
  <li>
   DFT+U for strongly correlated systems
  </li>
  <li>
   Hybrid functionals
  </li>
  <li>
   Hartree&ndash;Fock and post-HF methods (MP2, CCSD(T))
   <br/>
   <br/>
  </li>
 </ul>
 Molecular &amp; Statistical Simulations
 <br/>
 <br/>
 <ul>
  <li>
   Classical Molecular Dynamics (MD)
  </li>
  <li>
   Force-field development and validation
  </li>
  <li>
   Monte Carlo (MC) simulations
  </li>
  <li>
   Kinetic Monte Carlo (kMC) for surface reactions
  </li>
  <li>
   Machine Learning Force Fields ( Fairchem, Universal Forcefield, MACE)
   <br/>
   <br/>
  </li>
 </ul>
 Multiscale &amp; Mesoscale Modeling
 <br/>
 <br/>
 <ul>
  <li>
   Hierarchical nano &rarr; micro &rarr; meso &rarr; macro modeling
  </li>
  <li>
   QM&ndash;MM and QM&ndash;continuum coupling
  </li>
  <li>
   Microkinetic modeling and reaction networks
  </li>
  <li>
   Phase-field modeling
  </li>
  <li>
   Free energy methods (umbrella sampling, metadynamics)
  </li>
  <li>
   Materials Simulation &amp; Electronic Structure Modeling
  </li>
  <li>
   Bulk and surface DFT calculations
  </li>
  <li>
   k-point convergence, basis set testing
  </li>
  <li>
   Band structure, DOS, PDOS
  </li>
  <li>
   Phonons and lattice dynamics
  </li>
  <li>
   Elastic constants, thermal &amp; mechanical properties
  </li>
  <li>
   Defect formation energies
  </li>
  <li>
   Phase stability &amp; convex hulls
  </li>
  <li>
   Slab models and adsorption energies
  </li>
  <li>
   Reaction pathways using NEB / CI-NEB
   <br/>
   <br/>
  </li>
 </ul>
 Benchmarking &amp; Validation
 <br/>
 <br/>
 <li>
  Cross-code benchmarking across:
 </li>
 <ul>
  <li>
   DFT engines: VASP, Quantum ESPRESSO, CP2K, GPAW, CASTEP, Gaussian, ORCA
  </li>
  <li>
   MD engines: LAMMPS, GROMACS, NAMD
  </li>
  <li>
   ML potential
  </li>
  <li>
   Materials Informatics &amp; AI/ML
  </li>
  <li>
   Build ML models for materials &amp; catalyst property prediction:
  </li>
  <ul>
   <li>
    Fairchem, Universal Forcefield, CGCNN, MEGNet, SchNet, e3nn, NequIP
   </li>
   <li>
    Transformer &amp; foundation models for materials
   </li>
  </ul>
  <li>
   Curate datasets from:
  </li>
  <ul>
   <li>
    Materials Project, OQMD, NOMAD, JARVIS
   </li>
  </ul>
  <li>
   Develop ML surrogates for:
  </li>
  <ul>
   <li>
    Energy &amp; force prediction
   </li>
   <li>
    Bandgap estimation
   </li>
   <li>
    Thermal &amp; mechanical properties
   </li>
   <li>
    Catalyst screening &amp; ranking
   </li>
  </ul>
  <li>
   Integrate ML pipelines with:
  </li>
  <ul>
   <li>
    DFT / MD workflows
   </li>
   <li>
    Quantum simulation pipelines
   </li>
  </ul>
  <li>
   Simulation Workflow Engineering
  </li>
  <li>
   Build reproducible, automated workflows in Python for:
  </li>
  <ul>
   <li>
    High-throughput materials screening
   </li>
   <li>
    DFT&ndash;MD&ndash;CG-Mesoscale simulation pipelines
   </li>
   <li>
    Data extraction &amp; post-processing
   </li>
  </ul>
  <li>
   Develop modular tools for:
  </li>
  <ul>
   <li>
    Structure parsing (CIF, POSCAR, XYZ, PDB)
   </li>
   <li>
    Geometry builders &amp; surface generators
   </li>
   <li>
    Parameters generations
   </li>
   <li>
    Visualization (band structure, DOS, phonons, trajectories)
   </li>
  </ul>
  <li>
   Deploy workflows on:
  </li>
  <ul>
   <li>
    HPC clusters
   </li>
   <li>
    Cloud platforms (AWS, GCP)
   </li>
   <li>
    Containerized environments (Docker)
   </li>
  </ul>
  <li>
   Research, Collaboration &amp; Documentation
  </li>
  <li>
   Conduct literature reviews in:
  </li>
  <ul>
   <li>
    Computational materials
   </li>
   <li>
    Catalysis
   </li>
   <li>
    Semiconductors
   </li>
   <li>
    Alloy and Ceramics
   </li>
   <li>
    Polymers
   </li>
   <li>
    Quantum algorithms
   </li>
  </ul>
  <li>
   Design, execute, and analyze numerical experiments
  </li>
  <li>
   Prepare:
  </li>
  <ul>
   <li>
    Technical reports
   </li>
   <li>
    Internal whitepapers
   </li>
   <li>
    Presentations and datasets
   </li>
  </ul>
  <li>
   Collaborate closely with:
  </li>
  <ul>
   <li>
    Quantum hardware teams
   </li>
   <li>
    Algorithm developers
   </li>
   <li>
    AI/ML engineers
    <br/>
   </li>
  </ul>
 </ul>
 Specialization Tracks
 <br/>
 <br/>
 <ul>
  <li>
   DFT &amp; Electronic Structure Specialization
  </li>
  <li>
   Advanced XC functional selection &amp; benchmarking
  </li>
  <li>
   Strongly correlated systems (DFT+U, Hubbard models)
  </li>
  <li>
   Excited-state calculations (TDDFT, GW &ndash; exposure preferred)
  </li>
  <li>
   Defects, surfaces, and interfaces
  </li>
  <li>
   Electronic transport &amp; conductivity modeling
  </li>
  <li>
   Molecular Dynamics &amp; Classical Simulations
  </li>
  <li>
   Classical MD simulations (LAMMPS, GROMACS)
  </li>
  <li>
   Force-field parameterization &amp; validation
  </li>
  <li>
   Free energy calculations
  </li>
  <li>
   Reactive force fields (ReaxFF)
  </li>
  <li>
   ML-accelerated MD workflows
  </li>
  <li>
   Parameter generation for coarse-grained simulations
  </li>
  <li>
   Catalysis Specialization
  </li>
  <li>
   Heterogeneous, homogeneous &amp; electro-catalysis
  </li>
  <li>
   Reaction pathway identification
  </li>
  <li>
   Transition state searches (NEB, CI-NEB)
  </li>
  <li>
   Adsorption energies &amp; surface thermodynamics
  </li>
  <li>
   Microkinetic modeling
  </li>
  <li>
   Applications:
  </li>
  <ul>
   <li>
    OER, ORR, HER
   </li>
   <li>
    Photocatalysis
   </li>
   <li>
    Single-atom &amp; nanocluster catalysts
   </li>
  </ul>
  <li>
   Polymers &amp; Soft Matter Specialization
  </li>
  <li>
   DFT-based parameter extraction for polymers
  </li>
  <li>
   Multiscale polymer modeling (DFT, AA, CG)
  </li>
  <li>
   Dissipative Particle Dynamics (DPD)
  </li>
  <li>
   Monte Carlo Simulations
  </li>
  <li>
   Polymer blends, Polymer nanocomposites, surfactants, colloids
  </li>
  <li>
   Polymerization, degradation, crosslinking, morphology and aging studies
  </li>
  <li>
   Integration of DFT &rarr; MD &rarr; DPD&rarr;Phase field simulations pipelines
  </li>
  <li>
   Quantum Computing for Materials Simulation
  </li>
  <li>
   Map materials Hamiltonians to qubits:
  </li>
  <ul>
   <li>
    Jordan&ndash;Wigner, Bravyi&ndash;Kitaev, parity mappings
   </li>
  </ul>
  <li>
   Work on quantum algorithms including:
  </li>
  <ul>
   <li>
    VQE for correlated materials
   </li>
   <li>
    Subspace Quantum Diagonalization (SQD)
   </li>
   <li>
    qEOM for excited states
   </li>
   <li>
    Quantum Phase Estimation
   </li>
   <li>
    QITE / Quantum Monte Carlo
   </li>
  </ul>
  <li>
   Analyze:
  </li>
  <ul>
   <li>
    Qubit requirements
   </li>
   <li>
    Circuit depth
   </li>
   <li>
    Noise &amp; error budgets
   </li>
  </ul>
  <li>
   Design material-specific ans&auml;tze for NISQ devices and simulators
   <br/>
  </li>
 </ul>
 Software &amp; Programming Skills
 <br/>
 <br/>
 <ul>
  <li>
   DFT Codes: VASP, QE, CP2K, Gaussian, ORCA, CASTEP, ADF
  </li>
  <li>
   MD Codes: LAMMPS, GROMACS, NAMD, AMBER
  </li>
  <li>
   Visualization: VMD, VESTA, OVITO, Materials Studio, ASE
  </li>
  <li>
   Programming: Python (mandatory), Bash
  </li>
  <li>
   ML: PyTorch, TensorFlow, scikit-learn
  </li>
  <li>
   Infrastructure: HPC, MPI, Docker, Git, AWS / GCP
   <br/>
   <br/>
  </li>
 </ul>
 Soft Skills
 <br/>
 <br/>
 <ul>
  <li>
   Strong analytical and first-principles thinking
  </li>
  <li>
   Ability to design reproducible scientific workflows
  </li>
  <li>
   Clear scientific communication
  </li>
  <li>
   High ownership and curiosity-driven research mindset
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Educational Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD (or pursuing PhD for intern role) in:
  </li>
  <ul>
   <li>
    Chemistry
   </li>
   <li>
    Materials Science
   </li>
   <li>
    Chemical Engineering
   </li>
   <li>
    Physics
   </li>
   <li>
    Computational Science or related STEM field
   </li>
  </ul>
  <li>
   Strong foundation in:
  </li>
  <ul>
   <li>
    Physical chemistry
   </li>
   <li>
    Quantum mechanics
   </li>
   <li>
    Statistical mechanics &amp; thermodynamics
   </li>
  </ul>
  <li>
   Specialization in computational chemistry / materials modeling strongly preferred
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Publications or strong computational project portfolio
  </li>
  <li>
   Experience with HPC &amp; large-scale simulations
  </li>
  <li>
   Prior work in:
  </li>
  <ul>
   <li>
    Materials discovery
   </li>
   <li>
    Catalysis
   </li>
   <li>
    Semiconductor
   </li>
   <li>
    Polymer modeling
   </li>
   <li>
    ML-driven materials science
   </li>
  </ul>
  <li>
   Exposure to quantum algorithms or hybrid quantum&ndash;classical workflows
   <br/>
  </li>
 </ul>
 Skills: ml,dft,materials,simulations,modeling
</div>


Computational Materials Discovery Scientist

MORRIS SINCLAIR RECRUITMENT LTD

<ul> <li>Remote roles for award-winning specialist agricultural software company.</li><li>Delivering sustainable farming data-driven technology solutions.</li><li>Degree educated with proven track record as C#/.Net Back-End Developer.</li></ul> <strong>Remote-Friendly Software Development Opportunity in Agricultural Technology</strong>Join an award-winning agricultural analytics software company at the forefront of sustainable technology. We're seeking exceptional Back-End Developers who can transform data into impactful solutions that enhance food production, farm economics, and environmental resilience.<strong>Position Highlights:</strong><ul> <li>Remote Work</li><li>London based head office</li><li>Cutting-Edge Agricultural Technology Platform</li><li>Opportunity to Drive Sustainability through Innovative Software Solutions</li></ul> <strong>Candidate Assessment Process:</strong><ul> <li>LeetCode-Style Coding Challenge</li><li>Designed to evaluate algorithmic problem-solving skills</li><li>Focus on efficient, optimised solutions</li><li>Challenges will test: <ul> <li>Data Structures</li><li>Algorithm Design</li><li>Computational Thinking</li><li>Performance Optimisation</li></ul> </li></ul> <strong>Ideal Candidate Profile:</strong><strong>Academic and Professional Requirements:</strong><ul> <li>Minimum Qualification: Degree/Masters/PhD in Computing, Data Science, or Equivalent</li><li>Proven Commercial Experience as a Back-End Microsoft Developer</li><li>Strong Academic Background with Demonstrable Achievements</li><li>Proven ability to excel in time-constrained, algorithmic problem-solving</li></ul> <strong>Technical Expertise:</strong><ul> <li>Advanced Proficiency in: <ul> <li>C# and .NET Framework</li><li>Microsoft Azure Cloud Platform</li><li>SQL and SQL Server</li><li>Complex Data-Driven Software Development</li><li>Strong Algorithm and Data Structure Knowledge</li></ul> </li></ul> <strong>Preferred Background:</strong><ul> <li>Experience in FinTech or Similar Structured Data Environments</li><li>Demonstrated Ability to Scale Applications for Large User Base</li><li>Previous success in technical coding assessments</li></ul> <strong>Personal Attributes:</strong><ul> <li>Exceptional Attention to Detail</li><li>Strong Collaborative and Communication Skills</li><li>Creative Problem-Solving Approach</li><li>Quick Analytical Thinking</li><li>Ability to perform under time pressure</li><li>Passion for Technological Innovation in Sustainability</li></ul> <strong>What We Offer:</strong><ul> <li>Work with Respected Professionals</li><li>Cutting-Edge Technology Solutions</li><li>Meaningful Impact on Agricultural Sustainability</li><li>Opportunity to Develop Market-Leading Software</li><li>On top of the very competitive salary all employees are included in the company share scheme</li></ul>

Senior .Net Developer

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