diff --git a/service/models/operations/optimize.py b/service/models/operations/optimize.py
index 485bfc6..6ba875f 100644
--- a/service/models/operations/optimize.py
+++ b/service/models/operations/optimize.py
@@ -6,14 +6,14 @@
 import numpy as np
 import torch
 from pydantic import BaseModel, Field, Extra
-from models.base import OperationRequest, Timespan
+from models.base import OperationRequest, Timespan, InterventionObject
 from pyciemss.integration_utils.intervention_builder import (
     param_value_objective,
     start_time_objective,
 )
 
 from pyciemss.ouu.qoi import obs_nday_average_qoi, obs_max_qoi
-
+from models.converters import convert_to_static_interventions
 from utils.tds import fetch_model, fetch_inferred_parameters
 
 
@@ -80,7 +80,7 @@ class Optimize(OperationRequest):
     pyciemss_lib_function: ClassVar[str] = "optimize"
     model_config_id: str = Field(..., example="ba8da8d4-047d-11ee-be56")
     timespan: Timespan = Timespan(start=0, end=90)
-    interventions: InterventionObjective
+    policy_interventions: InterventionObjective
     step_size: float = 1.0
     qoi: QOI
     risk_bound: float
@@ -90,29 +90,37 @@ class Optimize(OperationRequest):
         None,
         description="optional extra system specific arguments for advanced use cases",
     )
+    fixed_static_parameter_interventions: List[InterventionObject] = Field(
+        default_factory=list,
+        description="The interventions provided via the model config which are not being optimized",
+    )
 
     def gen_pyciemss_args(self, job_id):
         # Get model from TDS
         amr_path = fetch_model(self.model_config_id, job_id)
-
-        intervention_type = self.interventions.selection
+        fixed_static_parameter_interventions = convert_to_static_interventions(
+            self.fixed_static_parameter_interventions
+        )
+        intervention_type = self.policy_interventions.selection
         if intervention_type == "param_value":
-            assert self.interventions.start_time is not None
-            start_time = [torch.tensor(time) for time in self.interventions.start_time]
-            param_value = [None] * len(self.interventions.param_names)
+            assert self.policy_interventions.start_time is not None
+            start_time = [
+                torch.tensor(time) for time in self.policy_interventions.start_time
+            ]
+            param_value = [None] * len(self.policy_interventions.param_names)
 
-            interventions = param_value_objective(
+            policy_interventions = param_value_objective(
                 start_time=start_time,
-                param_name=self.interventions.param_names,
+                param_name=self.policy_interventions.param_names,
                 param_value=param_value,
             )
         else:
-            assert self.interventions.param_values is not None
+            assert self.policy_interventions.param_values is not None
             param_value = [
-                torch.tensor(value) for value in self.interventions.param_values
+                torch.tensor(value) for value in self.policy_interventions.param_values
             ]
-            interventions = start_time_objective(
-                param_name=self.interventions.param_names,
+            policy_interventions = start_time_objective(
+                param_name=self.policy_interventions.param_names,
                 param_value=param_value,
             )
 
@@ -133,7 +141,8 @@ def gen_pyciemss_args(self, job_id):
             "risk_bound": self.risk_bound,
             "initial_guess_interventions": self.initial_guess_interventions,
             "bounds_interventions": self.bounds_interventions,
-            "static_parameter_interventions": interventions,
+            "static_parameter_interventions": policy_interventions,
+            "fixed_static_parameter_interventions": fixed_static_parameter_interventions,
             "inferred_parameters": inferred_parameters,
             "n_samples_ouu": n_samples_ouu,
             **extra_options,
diff --git a/tests/examples/optimize/input/request.json b/tests/examples/optimize/input/request.json
index 7a996ca..e8b2a8b 100644
--- a/tests/examples/optimize/input/request.json
+++ b/tests/examples/optimize/input/request.json
@@ -2,7 +2,7 @@
 	"engine": "ciemss",
 	"user_id": "not_provided",
 	"model_config_id": "sidarthe",
-	"interventions": {
+	"policy_interventions": {
 		"selection": "param_value",
 		"start_time": [2],
 		"param_names": ["beta"],