Founding ML Engineer (Scientific ML/PINNs)

Location: Remote / Hybrid

Type: Founding team

Compensation: Initial equity only; transitioning to equity + cash upon successful fundraising.

Application ID: INTSR-CA-2026-I01

About InTensors

InTensors (intensors.com) is a scientific MLaaS company that moves beyond generic AI by building models anchored in the laws of physics. We specialize in high-fidelity ML models where scientific accuracy is a requirement, not an option.

Our proprietary engine, SCIMLATE (scimlate.com), is a web-based platform designed to revolutionize R&D. By integrating AI into traditional scientific simulations, SCIMLATE provides researchers and engineers with instant, browser-based access to ML-enhanced workflows. At InTensors, we are bridging the gap between cutting edge AI and the high stakes world of engineering.

The Role

We are seeking a Founding Machine Learning Engineer to serve as the primary architect of our SciML models. While the InTensors team provides deep domain expertise in the physical laws governing our target ML models, your mission is to engineer the neural architectures that strictly enforce them. 

We need a specialist who can bridge the gap between physical constraints and high-performance, scalable ML model design. At InTensors, we value the advancement of the field and we actively encourage the publication of original research and novel architectures, ensuring you remain a recognized leader at the forefront of the ML community.

Initially, this is a fully remote position, allowing you to contribute from anywhere in the world. As the company grows, it may become necessary to transition to onsite operations to lead our tech teams in person.

Key Responsibilities

	- Architectural design: In addition to standard MLPs, you will develop and deploy models with innovative architectures such as neural operators, graph neural networks, or manifold learning architectures, optimized for scientific data.

	- Physics integration: Embedding natural laws into neural networks to ensure realistic results.

	- Optimization & scaling: Ensure that complex physics-informed models remain computationally efficient, focusing on memory management and training stability for high-dimensional PDE solvers.

	- Validation frameworks: Build rigorous testing pipelines to ensure model outputs remain within the physical feasibility bounds defined by our scientific team.

Compensation Structure

This is a role within a pre-revenue startup team. Please read carefully:

	- Initial phase: Compensation is fully equity based.

	- Post funding phase: Upon a successful fundraising (currently in progress), this role transitions to a base salary + equity package.

We are seeking a candidate who is motivated by the long term vision of the company and the opportunity to lead the scientific direction of a startup.

Requirements

	- PhD in computer science, machine learning, or computational physics is highly preferred. We will also consider candidates with a Master’s degree and a strong track record of professional experience in developing SciML models.

	- Expertise in physics-informed neural networks (PINNs), DeepONet, or neural operators.

	- Ability to design advanced and optimal architectures that extend beyond the standard MLP architecture to build efficient and scalable models for scientific discovery.

	- Strong skills in PyTorch, JAX, TensorFlow, Keras, or ONNX.

	- Knowledge of CUDA and GPU acceleration for optimizing custom layers and high performance tensor operations.

	- A track record of peer-reviewed publications or a documented history of building and scaling complex SciML models.

How to Apply

Please email your CV including a complete list of publications or SciML development experience.

	- Email subject: Please use the application ID provided above.
	
	- Email body: 1. Include a direct link to a representative publication demonstrating your expertise in SciML or architecture design. 2. (Optional) Include your desired equity percentage and base salary expectations.
	
	- Attachment: Attach your CV in PDF format.

Note: Initial compensation is equity only; transitioning to equity + cash upon successful fundraising. Only candidates meeting the educational requirements and the compensation criteria will be considered. Only shortlisted candidates will be contacted for an initial interview.

Postdoctoral Opportunity: Sea Spray Modeling in Marine Boundary Layers

A qualified candidate is invited to apply for a National Science and Technology Council (NSTC) Postdoctoral Fellowship to be hosted within a multi-year research project at the Department of Marine Environment and Engineering, National Sun Yat-sen University (Kaohsiung, Taiwan). The successful applicant will receive full support in preparing the fellowship proposal, and the appointment will be contingent on the fellowship award.

Project Description

Sea spray plays a critical role in air-sea exchange processes at high wind speeds, affecting momentum flux and heat transfer. Despite its importance, the physics of sea spray generation, transport, and evaporation remain poorly understood due to the multi-scale nature of the problem.

This project will develop Euler-Lagrangian modeling capabilities for sea spray within an existing multiphase code framework for wind-wave interactions (OpenFOAM). The research has direct applications to typhoon prediction and offshore wind energy.

Candidate Profile

• PhD in Mechanical, Aerospace, or Ocean Engineering, Applied Mechanics, or a related field
• Good publication record
• Experience with multiphase CFD
• Programming skills in C++; experience with OpenFOAM code development is a major asset
• Proficiency in academic English

Application

Please contact asim.onder@mail.nsysu.edu.tw to discuss the project and the fellowship application process. Applications should include a CV and a summary of research accomplishments and interests.

Review of applicants will start immediately and will continue until the position is filled. Only suitable candidates will be contacted.

CFD RESEARCH ENGINEER: APPLICATIONS
Convergent Science is a rapidly growing computational fluid dynamics (CFD) 
company. Our flagship product, CONVERGE, is a state-of-the-art CFD software 
suite used by industry and research organizations around the world to simulate 
turbulent reacting flows in complex geometries. Convergent Science is 
headquartered in Madison, Wisconsin, USA, with additional offices in the USA, 
Europe, and India.

Position Overview:

This job posting is for a full-time position at our headquarters in Madison, 
Wisconsin. We are seeking an engineer to support, train, and perform consulting 
services for our clients. Other duties include running cases with new features 
and sharing your results, as well as developing proposals for future work.

Requirements:

• M.S. or Ph.D. in engineering, computer science, mathematics, or related field
• Extensive CFD knowledge
• Excellent written and verbal communication skills
• Experience programming in C, C++, Fortran, and MPI (desirable)
• Knowledge of combustion, turbulence, and spray modeling (desirable)
• Background in chemical kinetics (desirable)
• Gas turbine simulation experience (desirable)
• Electric motor simulation experience (desirable)
• Pump and compressor simulation experience (desirable)
• Internal combustion engine simulation experience (desirable)

On-site client visits and conference attendance will be required occasionally, 
so applicants should be willing to travel. In addition to the technical 
knowledge required for this position, applicants should be outgoing, creative, 
and highly motivated.

Benefits:

• Salary commensurate with experience
• Possible annual bonus
• Paid holidays and paid time off
• Paid time off for company-approved volunteer activities
• 401k with employer match
• Health, dental, and vision insurance
• Short- and long-term disability insurance and life insurance

Convergent Science, Inc., is an Equal Opportunity Employer. We are committed to 
building a diverse team and to creating an inclusive environment for all 
employees. We believe that diversity and inclusion make our company stronger and 
our software better. All qualified applicants will receive consideration for 
employment without regard to race, color, religion, sex, sexual orientation, 
gender identity, national origin, disability, or status as a protected veteran.

Application Instructions:

Interested applicants should send their resume and salary requirements to 
Tracy Schmidt 
at support1@convergecfd.com.

Hosted within the Rolls-Royce University Technology Centre (UTC) for 
Computational Engineering, the following project aims to develop novel fluidic 
topology optimisation approaches for gas turbine component design by leveraging 
cutting edge machine/deep learning methods and computational fluid dynamics with 
the aim of revolutionising the solution of aerodynamic design problems.

Topology optimisation has grown in popularity over the past decade for 
structural problems but has yet to gain significant traction within the 
engineering community for aerodynamic problems. While controlling the porosity 
over a control volume offers considerable design freedom, the solution is 
limited to a local optimum and multiple constraints and objectives including, 
for example, manufacturability cannot be easily accounted for. This severely 
limits the application of such an approach within gas turbine design. 

This project aims to develop a novel approach to fluidic topology optimisation 
by building upon the cutting edge machine/deep learning approaches for 
optimisation and geometry generation developed by the Rolls-Royce University 
Technology Centre (UTC) for Computational Engineering. 

By developing a unique feature-based fluidic topology optimisation process we 
aim to revolutionise aerodynamic design optimisation, producing more efficient 
designs in a greatly accelerated timeframe. While focused on gas turbine 
applications, for example, the optimisation of combustor, blade or seal 
features, this research has the potential to have a far reaching impact across 
engineering.

The School of Engineering is committed to promoting equality, diversity 
inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants 
regardless of their gender, ethnicity, disability, sexual orientation or age, 
and will give full consideration to applicants seeking flexible working patterns 
and those who have taken a career break. The University has a generous maternity 
policy, onsite childcare facilities, and offers a range of benefits to help 
ensure employees’ well-being and work-life balance. The University of 
Southampton is committed to sustainability and has been awarded the Platinum 
EcoAward.

Project Associate (Engineer) in Computational Modeling at IISc, Bengaluru
                             [2 Positions]

Date of posting vacancy: February 3, 2026
Deadline: February 18, 2026
Duration: 1 year with a potential for extension
Location: Department of Materials Eng., Indian Institute of Science (IISc), 
Bengaluru, India
Job Description:
We are seeking a Project Associate (Engineer) to model and simulate the Raceway 
region of an ironmaking blast furnace. This role is a unique opportunity to:
• Develop advanced heat and mass transfer for the combustion of coal particles   
involving packed beds using DEM.
• Innovate in CFD modelling for gas flow through packed beds.
• Dive deeper into interaction among the various phases.
• Mentor and guide the next generation of postgraduate students.

Who We’re Looking For:
Position 1:
•A Ph.D. holder in Chemical, Metallurgy, Mechanical, Aerospace, Civil, Physics, 
or related fields.
•Proficiency in EDEM software and in programming languages such as C/C++ and 
Python.
•Expertise in modelling of DEM based multiparticle systems including multiphase 
flows.

Position 2:
•A Ph.D. holder in Chemical, Metallurgy, Mechanical, Aerospace, Civil, Physics, 
or related fields.
•Proficiency in ANSYS CFD software and in programming languages such as C/C++ 
and Python.
•Expertise in modelling multiphase flows including DEM.
Desirable Skills:
•An academic spirit, eager to explore and publish.
•Experience in parallel computing and developing graphical user interface for 
scientific codes would be advantageous.

Other information:
 
The consolidated salary for Research Associate (Engineer) will be Indian Rupees 
(INR) 70,000.00 – 110,000.00 per month depending upon the experience and 
expertise. The appointment would be for 1 year. This position may be extended 
further for the right candidate and depending upon the availability of funds. We 
offer a vibrant, collaborative environment at India’s premier research 
institute. Interested candidates are requested to send their recent CV, any two 
published paper/s and contact details of two references to: govindg@iisc.ac.in, 
Phone +91-80-22933240, by February 18, 2026.

Applications are invited from candidates with good academic background and 
excellent mathematical skills for the research project entitled, ‘Modeling 
Contaminant Transport through Porous Membranes used for Water Filtration’ in a 
purely time-bound manner undertaken in the Department of Civil Engineering, IIT 
Hyderabad. 
This is a rolling advertisement with no last date for application. Applications 
will be invited till a suitable candidate is found. Details are as follows:

Name of the post: Junior Research Fellow (JRF)

Title of the research project: Modeling Contaminant Transport through Porous 
Membranes used for Water Filtration

Number of vacancies: 1

Description of the job: Developing mathematical models to simulate fluid flow 
and contaminant transport through membranes

Sponsoring agency: Department of Science and Technology

Appointment period: 3 months, extendable to 2 years (renewal will be done every 
three months subject to satisfactory performance and continued funding 
availability). There is a possibility to register for the PhD program depending 
on the performance of the candidate

Remuneration: INR 31,000 per month + HRA as per GOI norms

Essential qualifications: First-class Bachelor’s degree (B.Tech/B.E.) in 
Civil/Water Resources/Chemical/Mechanical Engineering or BSc in 
Physics/Mathematics/allied areas from a recognized university 
AND
First-class Master's degree (M.Tech/ M.E.) in Hydraulics / Hydrology/Water 
Resources/Environmental/Chemical/Mechanical Engineering or MSc in 
Physics/Mathematics/Hydrogeology/allied areas from a recognized university 

Desirable qualifications: Strong mathematical, analytical, and programming 
skills; Previous experience in modeling and simulation, programming, or flow and 
transport through porous media is highly desirable

Age limit: 35 years

•	Eligible applicants should send the following documents via email to 
seetha@ce.iith.ac.in with the subject of email as “JRF DST”:
1.	Latest CV with photograph
2.	Scanned copy of degree certificates and grade sheets or transcripts for 
both bachelors and masters
3.	Proof of date of birth
4.	Statement of Purpose

•	Candidates will be shortlisted for an interview based on merit and need 
of the project, and will be informed via email. 
•	Shortlisted candidates will be called for an online interview. 
•	The selected candidate is expected to join immediately.


For any queries, please contact the PI of the project:
Dr. Seetha N.
Associate Professor
Department of Civil Engineering
Indian Institute of Technology Hyderabad (IITH)
Kandi, Sangareddy – 502284
Telangana
Email: seetha@ce.iith.ac.in
Webpage: https://sites.google.com/iith.ac.in/seetha/

Post-doctoral opportunity in Experimental Hydraulic Engineering/Turbulence 
Modeling/Computational Fluid Dynamics (CFD) in the Hydraulics and Water Resources 
Engineering IITH group at the Indian Institute of Technology Hyderabad against the 
Anusandhan National Research Foundation (ANRF)-National Post Doctoral Fellowship 
(N-PDF). 
I am looking for suitable NPDF candidates against the above-mentioned fellowship 
call to work with and to mentor. 
The fellowship details, eligibility criteria, required documents, and application 
procedure are provided on the official website 
https://www.anrfonline.in/ANRF/npdf?HomePage=New. The application deadline is 
February 17, 2026. 
Interested candidates are welcome to connect via email to subhokadia@ce.iith.ac.in 
with the subject 'ANRF NPDF'. 
Best wishes to the applicants. 

Subhojit Kadia
Indian Institute of Technology Hyderabad

Two positions for PhD studies in Fall 2026 at the Applied Computing & 
Thermofluid Lab affiliated with the Department of Engineering and System Science 
at National Tsing Hua University (QS World rankings #176, 
https://www.topuniversities.com/universities/national-tsing-hua-university). The 
industrial park in Hsinchu has become synonymous with Taiwan's flagship 
semiconductor industry, which ranks second only to the U.S. by revenue and 
serves almost all of the world's tech giants, including Apple, Google, Qualcomm 
and Nvidia.
 
Research topics:
1. Combustion simulations using ANSYS Fluent (or OpenFoam) and other chemical 
kinetic modeling tools. Both studies will involve experimental work. 
2. Applying lattice Boltzmann (OpenLB) methods for solving industrial problems 
(GPU computing).
In addition to required coursework, the graduation requirement is to publish at 
least two first-authored journal articles.

Our lab: https://sites.google.com/umich.edu/kclin/home
Department: http://www.ess.nthu.edu.tw/p/412-1351-5083.php?Lang=en
University: https://nthu-en.site.nthu.edu.tw/
For international students who are interested in pursuing graduate studies,
please click the links for admission and scholarship opportunities. 
The application closes by Feb 28, 2026:
https://oga.site.nthu.edu.tw/p/412-1524-17831.php?Lang=en

Scholarship info: https://oga.site.nthu.edu.tw/p/412-1524-18035.php?Lang=en
*NTHU awards admitted international PhD student scholarships with a tuition 
waiver.
*University fellowships (10,000 to 15,000 TWD per month) and monthly research 
and teaching assistant stipends from the lab of Dr. Lin (10,000 to 25,000 TWD) 
should be enough for you to pay off your living expenses.
*English is the medium of communication and coursework.  
*Applicants who secure admission will have the registration fees reimbursed. 

Craft jobs, product shopping, product advertising, or advertising that is not 
displayed online, or jobs that are not available for work 

https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14532

Only applications submitted through the link will be evaluated.